Zhu, J.Y.[Jun-Yu],
Zhu, H.[Hao],
Zhang, Q.[Qi],
Zhu, F.[Fang],
Ma, Z.[Zhan],
Cao, X.[Xun],
Pyramid NeRF: Frequency Guided Fast Radiance Field Optimization,
IJCV(131), No. 10, October 2023, pp. 2649-2664.
Springer DOI
2309
BibRef
Lan, Y.S.[Yu-Shi],
Loy, C.C.[Chen Change],
Dai, B.[Bo],
Correspondence Distillation from NeRF-Based GAN,
IJCV(132), No. 3, March 2024, pp. 611-631.
Springer DOI
2402
BibRef
Jain, N.[Nishant],
Kumar, S.[Suryansh],
Van Gool, L.J.[Luc J.],
Learning Robust Multi-scale Representation for Neural Radiance Fields
from Unposed Images,
IJCV(132), No. 4, April 2024, pp. 1310-1335.
Springer DOI
2404
BibRef
Zhou, K.[Kun],
Li, W.B.[Wen-Bo],
Jiang, N.[Nianjuan],
Han, X.G.[Xiao-Guang],
Lu, J.B.[Jiang-Bo],
From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm,
PAMI(46), No. 5, May 2024, pp. 3422-3437.
IEEE DOI
2404
Degradation, Image restoration, Training,
Rendering (computer graphics), deep learning
BibRef
Zheng, C.W.[Cheng-Wei],
Lin, W.B.[Wen-Bin],
Xu, F.[Feng],
EditableNeRF: Editing Topologically Varying Neural Radiance Fields by
Key Points,
PAMI(46), No. 8, August 2024, pp. 5779-5790.
IEEE DOI
2407
BibRef
Earlier:
CVPR23(8317-8327)
IEEE DOI
2309
Training, Image reconstruction, Dynamics, Codes, Optimization,
Rendering (computer graphics), Neural radiance fields,
topological changes
BibRef
Marí, R.[Roger],
Accelerating NeRF with the Visual Hull,
IPOL(14), 2024, pp. 217-231.
DOI Link
2408
BibRef
Liu, Q.M.[Qi-Ming],
Xin, H.R.[Hao-Ran],
Liu, Z.[Zhe],
Wang, H.S.[He-Sheng],
Integrating Neural Radiance Fields End-to-End for Cognitive
Visuomotor Navigation,
PAMI(46), No. 12, December 2024, pp. 11200-11215.
IEEE DOI
2411
Neural radiance field, Navigation, Feature extraction, Cognition,
Pipelines, Training, Embodied AI, memory cognition,
visuomotor navigation
BibRef
Schieber, H.[Hannah],
Deuser, F.[Fabian],
Egger, B.[Bernhard],
Oswald, N.[Norbert],
Roth, D.[Daniel],
NeRFtrinsic Four: An end-to-end trainable NeRF jointly optimizing
diverse intrinsic and extrinsic camera parameters,
CVIU(249), 2024, pp. 104206.
Elsevier DOI
2412
Machine vision and scene understanding, Image processing,
Computer graphics, Computational geometry
BibRef
Liu, B.Z.[Bing-Zheng],
Lei, J.J.[Jian-Jun],
Peng, B.[Bo],
Zhang, Z.[Zhe],
Zhu, J.[Jie],
Huang, Q.M.[Qing-Ming],
Advancing Generalizable Occlusion Modeling for Neural Human Radiance
Field,
MultMed(27), 2025, pp. 1362-1373.
IEEE DOI
2503
Rendering (computer graphics), Geometry, Neural radiance field,
Image color analysis, Accuracy, Optimization, Solid modeling,
visibility aggregation module
BibRef
Barreiro, A.[Albert],
Marí, R.[Roger],
Redondo, R.[Rafael],
Haro, G.[Gloria],
Bosch, C.[Carles],
Berga, D.[David],
Specularity in NeRFs: A Comparative Study of Ref-NeRF and NRFF,
IPOL(15), 2025, pp. 32-44.
DOI Link
2503
Survey, NeRF.
BibRef
Yin, Z.X.[Ze-Xin],
Jiao, P.Y.[Peng-Yi],
Qiu, J.X.[Jia-Xiong],
Cheng, M.M.[Ming-Ming],
Ren, B.[Bo],
MS-NeRF: Multi-Space Neural Radiance Fields,
PAMI(47), No. 5, May 2025, pp. 3766-3783.
IEEE DOI
2504
BibRef
Earlier: A1, A3, A4, A5, Only:
Yin, Z.X.[Ze-Xin],
Qiu, J.X.[Jia-Xiong],
Cheng, M.M.[Ming-Ming],
Ren, B.[Bo],
Multi-Space Neural Radiance Fields,
CVPR23(12407-12416)
IEEE DOI
2309
Neural radiance field, Training, Rendering (computer graphics),
Mirrors, Reflection, Cameras, Mathematical models, Surface treatment, dataset
BibRef
Miao, X.Y.[Xing-Yu],
Duan, H.R.[Hao-Ran],
Bai, Y.[Yang],
Shah, T.[Tejal],
Song, J.[Jun],
Long, Y.[Yang],
Ranjan, R.[Rajiv],
Shao, L.[Ling],
Laser: Efficient Language-Guided Segmentation in Neural Radiance
Fields,
PAMI(47), No. 5, May 2025, pp. 3922-3934.
IEEE DOI
2504
Neural radiance field, Image segmentation, Semantics,
Feature extraction, Training, Rendering (computer graphics),
NeRF
BibRef
Zhang, J.H.[Jia-Hui],
Zhan, F.N.[Fang-Neng],
Yu, Y.C.[Ying-Chen],
Liu, K.[Kunhao],
Wu, R.L.[Rong-Liang],
Zhang, X.Q.[Xiao-Qin],
Shao, L.[Ling],
Lu, S.J.[Shi-Jian],
Pose-Free Neural Radiance Fields via Implicit Pose Regularization,
ICCV23(3511-3520)
IEEE DOI
2401
BibRef
Xu, M.[Muyu],
Zhan, F.N.[Fang-Neng],
Zhang, J.H.[Jia-Hui],
Yu, Y.C.[Ying-Chen],
Zhang, X.Q.[Xiao-Qin],
Theobalt, C.[Christian],
Shao, L.[Ling],
Lu, S.J.[Shi-Jian],
WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields,
ICCV23(18149-18158)
IEEE DOI
2401
BibRef
Luo, Z.Y.[Zi-Yuan],
Rocha, A.[Anderson],
Shi, B.X.[Bo-Xin],
Guo, Q.[Qing],
Li, H.L.[Hao-Liang],
Wan, R.J.[Ren-Jie],
The NeRF Signature: Codebook-Aided Watermarking for Neural Radiance
Fields,
PAMI(47), No. 6, June 2025, pp. 4652-4667.
IEEE DOI
2505
Neural radiance field, Watermarking, Training, Robustness, Pipelines,
Computational modeling, Visualization, Solid modeling, neural radiance fields
BibRef
Lee, D.[Dogyoon],
Kim, D.[Donghyeong],
Lee, J.[Jungho],
Lee, M.[Minhyeok],
Lee, S.[Seunghoon],
Lee, S.Y.[Sang-Youn],
Sparse-DeRF: Deblurred Neural Radiance Fields From Sparse View,
PAMI(47), No. 8, August 2025, pp. 6842-6858.
IEEE DOI
2507
Neural radiance field, Rendering (computer graphics), Kernel,
Training, Optimization, Cameras, Geometry, Feature extraction,
sparse view setting
BibRef
Lee, D.[Dogyoon],
Lee, M.[Minhyeok],
Shin, C.[Chajin],
Lee, S.Y.[Sang-Youn],
DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors,
CVPR23(12386-12396)
IEEE DOI
2309
BibRef
Shan, J.[Jiwei],
Zhang, Z.X.[Zi-Xin],
Li, H.[Hao],
Hsieh, C.T.[Cheng-Tai],
Li, Y.R.[Yi-Rui],
Wu, W.H.[Wen-Hua],
Wang, H.S.[He-Sheng],
UW-DNeRF: Deformable Soft Tissue Reconstruction With
Uncertainty-Guided Depth Supervision and Local Information
Integration,
MedImg(44), No. 7, July 2025, pp. 2808-2818.
IEEE DOI Code:
WWW Link.
2507
Image reconstruction, Biological tissues, Deformation,
Neural radiance field, Surgery, Deformable models, optical imaging
BibRef
Peng, J.[Jun],
Chen, C.Y.[Chun-Yi],
RPCC: Rectified Pearson Correlation Coefficient for Radiance Fields
Optimization,
SPLetters(32), 2025, pp. 2489-2493.
IEEE DOI
2507
Training, Optimization, Image color analysis,
Neural radiance field, Correlation coefficient, Reactive power,
photometric loss
BibRef
Guo, Z.Y.[Zhi-Yang],
Zhou, W.G.[Wen-Gang],
Wang, M.[Min],
Li, L.[Li],
Li, H.Q.[Hou-Qiang],
HandNeRF++: Modeling Animatable Interacting Hands With Neural
Radiance Fields,
PAMI(47), No. 9, September 2025, pp. 8102-8116.
IEEE DOI
2508
BibRef
Earlier:
HandNeRF: Neural Radiance Fields for Animatable Interacting Hands,
CVPR23(21078-21087)
IEEE DOI
2309
Hands, Neural radiance field, Rendering (computer graphics),
Geometry, Adaptation models, Optimization, Deformation, Shape,
novel pose generalization
BibRef
Zheng, S.[Sheng],
Zhang, C.N.[Chao-Ning],
Han, D.S.[Dong-Shen],
Puspitasari, F.D.[Fachrina Dewi],
Hao, X.H.[Xin-Hong],
Yang, Y.[Yang],
Shen, H.T.[Heng Tao],
Exploring Kernel Transformations for Implicit Neural Representations,
MultMed(27), 2025, pp. 5936-5945.
IEEE DOI
2510
Kernel, Image representation, Modeling, Laplace equations, Neural networks,
Measurement, Training, Polynomials, Data mining, Memory management
BibRef
Xie, Y.[Yuan],
Lv, K.[Kai],
Cui, J.P.[Jian-Ping],
Yuan, L.[Liang],
EDRC-NeRF: Enhanced Detail Recovery in Complex Lighting,
SPLetters(32), 2025, pp. 3789-3793.
IEEE DOI
2510
Lighting, Neural radiance field, Rendering (computer graphics),
Optimization, Feature extraction, Training, Image restoration,
view-specific features
BibRef
Qin, H.D.[Hai-Dong],
Yang, T.[Tao],
Zhou, X.[Xiaoshi],
Li, D.D.[Dong-Dong],
Dai, Y.R.[Yan-Ran],
Li, J.[Jing],
ECC-NeRF: Anti-Aliasing Neural Radiance Fields With Elliptic
Cone-Casting for Diverse Camera Models,
CirSysVideo(35), No. 11, November 2025, pp. 10986-11000.
IEEE DOI
2511
Neural radiance field, Cameras, Rendering (computer graphics), Training,
Casting, Computational modeling, Accuracy, Solid modeling, camera model
BibRef
Chen, Y.D.[Yue-Dong],
Xu, H.F.[Hao-Fei],
Wu, Q.Y.[Qian-Yi],
Zheng, C.X.[Chuan-Xia],
Cham, T.J.[Tat-Jen],
Cai, J.F.[Jian-Fei],
Explicit Correspondence Matching for Generalizable Neural Radiance
Fields,
PAMI(47), No. 12, December 2025, pp. 11708-11719.
IEEE DOI
2511
Neural radiance field, Transformers, Feature extraction, Geometry,
Rendering (computer graphics), Image color analysis, Costs,
transformer
BibRef
Chen, Y.D.[Yue-Dong],
Wu, Q.Y.[Qian-Yi],
Zheng, C.X.[Chuan-Xia],
Cham, T.J.[Tat-Jen],
Cai, J.F.[Jian-Fei],
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance
Fields,
ECCV22(XIV:730-748).
Springer DOI
2211
BibRef
Huang, R.[Rui],
Tao, H.J.[Hao-Jie],
Jiang, B.B.[Bin-Bin],
Zhao, Q.Y.[Qing-Yi],
Wan, L.[Liang],
Guo, Q.[Qing],
C-NeRF: Representing Scene Changes as Directional Consistency
Difference-Based NeRF,
IP(34), 2025, pp. 7502-7513.
IEEE DOI
2511
Neural radiance field, Rendering (computer graphics), Cameras,
Transformers, Feature extraction, Remote sensing,
direction-consistent constraint
BibRef
Chetan, A.[Aditya],
Yang, G.[Guandao],
Wang, Z.C.[Zi-Chen],
Marschner, S.[Steve],
Hariharan, B.[Bharath],
Accurate Differential Operators for Hybrid Neural Fields,
CVPR25(530-539)
IEEE DOI
2508
Accuracy, Shape, Partial differential equations, Fitting,
Rendering (computer graphics), Polynomials, Mathematical models,
neural fields
BibRef
Dhakal, A.[Aayush],
Sastry, S.[Srikumar],
Khanal, S.[Subash],
Ahmad, A.[Adeel],
Xing, E.[Eric],
Jacobs, N.[Nathan],
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution
Geo-Embeddings,
CVPR25(24680-24689)
IEEE DOI Code:
WWW Link.
2508
Training, Visualization, Codes, Computational modeling, Geology,
Estimation, Geospatial analysis, Population density,
geoembeddings
BibRef
Zhang, X.[Xinyi],
Li, N.Q.[Nai-Qi],
Dai, A.[Angela],
DNF: Unconditional 4D Generation with Dictionary-based Neural Fields,
CVPR25(26047-26056)
IEEE DOI
2508
Deformable models, Training, Solid modeling, Dictionaries, Shape,
Diffusion models, Transformers, Vectors
BibRef
Chng, S.F.[Shin-Fang],
Saratchandran, H.[Hemanth],
Lucey, S.[Simon],
Preconditioners for the Stochastic Training of Neural Fields,
CVPR25(27222-27232)
IEEE DOI
2508
Training, Shape, Stochastic processes, Neural radiance field,
Wavelet analysis, Prediction algorithms, Optimization, Image reconstruction
BibRef
Koch, S.[Sebastian],
Wald, J.[Johanna],
Colosi, M.[Mirco],
Vaskevicius, N.[Narunas],
Hermosilla, P.[Pedro],
Tombari, F.[Federico],
Ropinski, T.[Timo],
RelationField: Relate Anything in Radiance Fields,
CVPR25(21706-21716)
IEEE DOI
2508
Instance segmentation, Solid modeling, Semantics,
Object segmentation, Neural radiance field, Feature extraction,
open-vocabulary
BibRef
Zhang, X.Y.[Xiao-Yu],
Pan, W.H.[Wei-Hong],
Bao, C.[Chong],
Zhang, X.[Xiyu],
Xiang, X.J.[Xiao-Jun],
Jiang, H.Q.[Han-Qing],
Bao, H.J.[Hu-Jun],
LookCloser: Frequency-aware Radiance Field for Tiny-Detail Scene,
CVPR25(16122-16132)
IEEE DOI
2508
Frequency synthesizers, Rendering (computer graphics),
Neural radiance field, Periodic structures, Convergence
BibRef
Jayasundara, D.[Dhananjaya],
Rajagopalan, S.[Sudarshan],
Ranasinghe, Y.[Yasiru],
Tran, T.D.[Trac D.],
Patel, V.M.[Vishal M.],
SINR: Sparsity Driven Compressed Implicit Neural Representations,
CVPR25(3061-3070)
IEEE DOI
2508
Image coding, Dictionaries, Quantization (signal), Codes,
Interference, Neural radiance field, Entropy coding, Vectors,
image compression
BibRef
Meng, N.[Nicole],
Manicke, C.[Caleb],
Sahu, R.[Ronak],
Ding, C.[Caiwen],
Lao, Y.J.[Ying-Jie],
Advancing Adversarial Robustness in GNeRFs: The IL2-NeRF Attack,
CVPR25(16388-16397)
IEEE DOI Code:
WWW Link.
2508
Threat modeling, Measurement, Solid modeling,
Computational modeling, Perturbation methods, trustworthy ai
BibRef
Choi, H.[Haeyun],
Yang, H.[Heemin],
Han, J.[Janghyeok],
Cho, S.[Sunghyun],
Exploiting Deblurring Networks for Radiance Fields,
CVPR25(6012-6021)
IEEE DOI
2508
Deblurring, Training, Training data, Cameras,
Computational efficiency, Iterative methods, Synthetic data, real dataset
BibRef
Zheng, X.[Xunzhi],
Xu, D.[Dan],
Flow-NeRF: Joint Learning of Geometry, Poses, and Dense Flow within
Unified Neural Representations,
CVPR25(993-1002)
IEEE DOI Code:
WWW Link.
2508
Geometry, Representation learning, Accuracy, Depth measurement,
Estimation, Cameras, Neural radiance field,
Optical flow
BibRef
Madavan, R.R.[Rakesh Raj],
Kaimal, A.[Akshat],
V, B.K.[Badhrinarayanan K],
Gupta, V.[Vinayak],
Choudhary, R.[Rohit],
Shanmuganathan, C.[Chandrakala],
Mitra, K.[Kaushik],
GANESH: Generalizable NeRF for Lensless Imaging,
WACV25(9499-9508)
IEEE DOI
2505
Training, Solid modeling, Virtual reality,
Rendering (computer graphics), Neural radiance field, Robustness,
Synthetic data
BibRef
Zhang, B.Y.[Bo-Yuan],
He, Z.L.[Zhen-Liang],
Kan, M.[Meina],
Shan, S.G.[Shi-Guang],
Precise Integral in NeRFs: Overcoming the Approximation Errors of
Numerical Quadrature,
WACV25(317-326)
IEEE DOI
2505
Training, Geometry, Closed-form solutions, Neural networks,
Neural radiance field, Approximation error, Numerical models
BibRef
Govindarajan, S.[Shrisudhan],
Sambugaro, Z.[Zeno],
Shabanov, A.[Akhmedkhan],
Takikawa, T.[Towaki],
Rebain, D.[Daniel],
Sun, W.W.[Wei-Wei],
Conci, N.[Nicola],
Yi, K.M.[Kwang Moo],
Tagliasacchi, A.[Andrea],
Lagrangian Hashing for Compressed Neural Field Representations,
ECCV24(XXVII: 183-199).
Springer DOI
2412
BibRef
Jiang, W.[Wen],
Lei, B.[Boshu],
Daniilidis, K.[Kostas],
Fisherrf: Active View Selection and Mapping with Radiance Fields Using
Fisher Information,
ECCV24(XIII: 422-440).
Springer DOI
2412
BibRef
Im, W.B.[Woo-Bin],
Cha, G.[Geonho],
Lee, S.[Sebin],
Lee, J.[Jumin],
Seon, J.[Juhyeong],
Wee, D.Y.[Dong-Yoon],
Yoon, S.E.[Sung-Eui],
Regularizing Dynamic Radiance Fields with Kinematic Fields,
ECCV24(XXXIX: 312-328).
Springer DOI
2412
BibRef
Liu, W.H.[Wei-Hang],
Zheng, X.X.[Xue Xian],
Yu, J.Y.[Jing-Yi],
Lou, X.[Xin],
Content-Aware Radiance Fields: Aligning Model Complexity with Scene
Intricacy Through Learned Bitwidth Quantization,
ECCV24(XLIII: 239-256).
Springer DOI
2412
BibRef
Shen, S.[Shihe],
Gao, H.C.[Hua-Chen],
Xu, W.Z.[Wang-Ze],
Peng, R.[Rui],
Tang, L.Y.[Lu-Yang],
Xiong, K.Q.[Kai-Qiang],
Jiao, J.B.[Jian-Bo],
Wang, R.G.[Rong-Gang],
Disentangled Generation and Aggregation for Robust Radiance Fields,
ECCV24(XLIX: 218-236).
Springer DOI
2412
BibRef
Wu, Z.K.[Zhong-Kai],
Wan, Z.Y.[Zi-Yu],
Zhang, J.[Jing],
Liao, J.[Jing],
Xu, D.[Dong],
RAFE: Generative Radiance Fields Restoration,
ECCV24(LXVII: 163-179).
Springer DOI
2412
BibRef
Yang, X.[XianBen],
Wang, T.[Tao],
Liu, H.[He],
Jin, Y.[Yi],
Lang, C.Y.[Cong-Yan],
Li, Y.D.[Yi-Dong],
Enhancing Multimedia Applications by Removing Dynamic Objects in Neural
Radiance Fields,
ACCV24(X: 108-124).
Springer DOI
2412
BibRef
Okunev, M.[Mikhail],
Mapeke, M.[Marc],
Attal, B.[Benjamin],
Richardt, C.[Christian],
O'Toole, M.[Matthew],
Tompkin, J.[James],
Flowed Time of Flight Radiance Fields,
ECCV24(LXII: 373-389).
Springer DOI
2412
BibRef
Wang, L.[Le],
Li, S.G.[Shi-Gang],
Learning Neural Radiance Field from Quasi-uniformly Sampled Spherical
Image for Immersive Virtual Reality,
ACCV24(VI: 157-171).
Springer DOI
2412
BibRef
Xie, S.X.[Shu-Xiang],
Zhou, S.Y.[Shu-Yi],
Sakurada, K.[Ken],
Ishikawa, R.[Ryoichi],
Onishi, M.[Masaki],
Oishi, T.[Takeshi],
G^2fR: Frequency Regularization in Grid-Based Feature Encoding
Neural Radiance Fields,
ECCV24(XXII: 186-203).
Springer DOI
2412
BibRef
Mahajan, M.[Mihir],
Hofherr, F.[Florian],
Cremers, D.[Daniel],
Meshfeat: Multi-resolution Features for Neural Fields on Meshes,
ECCV24(XXIX: 268-285).
Springer DOI
2412
BibRef
Garg, R.[Ravi],
Chng, S.F.[Shin-Fang],
Lucey, S.[Simon],
Direct Alignment for Robust NeRF Learning,
ACCV24(IX: 88-104).
Springer DOI
2412
BibRef
Mai, J.J.[Jin-Jie],
Zhu, W.X.[Wen-Xuan],
Rojas, S.[Sara],
Zarzar, J.[Jesus],
Hamdi, A.[Abdullah],
Qian, G.C.[Guo-Cheng],
Li, B.[Bing],
Giancola, S.[Silvio],
Ghanem, B.[Bernard],
TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via
Feature Tracks,
ECCV24(XII: 470-489).
Springer DOI
2412
BibRef
Catley-Chandar, S.[Sibi],
Shaw, R.[Richard],
Slabaugh, G.[Gregory],
Pérez-Pellitero, E.[Eduardo],
RogueNeRF: A Robust Geometry-consistent Universal Enhancer for NeRF,
ECCV24(XII: 54-71).
Springer DOI
2412
BibRef
Chen, Y.J.[Yu-Jin],
Nie, Y.[Yinyu],
Ummenhofer, B.[Benjamin],
Birkl, R.[Reiner],
Paulitsch, M.[Michael],
Müller, M.[Matthias],
Nießner, M.[Matthias],
Mesh2nerf: Direct Mesh Supervision for Neural Radiance Field
Representation and Generation,
ECCV24(IX: 173-191).
Springer DOI
2412
BibRef
Zhou, Q.[Qunjie],
Maximov, M.[Maxim],
Litany, O.[Or],
Leal-Taixé, L.[Laura],
The NeRFect Match: Exploring NeRF Features for Visual Localization,
ECCV24(XXIV: 108-127).
Springer DOI
2412
BibRef
Chng, S.F.[Shin-Fang],
Garg, R.[Ravi],
Saratchandran, H.[Hemanth],
Lucey, S.[Simon],
Invertible Neural Warp for NeRF,
ECCV24(XVII: 405-421).
Springer DOI
2412
BibRef
Amini-Naieni, N.[Niki],
Jakab, T.[Tomas],
Vedaldi, A.[Andrea],
Clark, R.[Ronald],
Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator,
ECCV24(LXXVIII: 309-324).
Springer DOI
2412
BibRef
Khatib, R.[Rajaei],
Giryes, R.[Raja],
Trinerflet: A Wavelet Based Triplane NeRF Representation,
ECCV24(LXXIX: 358-374).
Springer DOI
2412
BibRef
Niu, M.[Muyao],
Chen, T.[Tong],
Zhan, Y.F.[Yi-Fan],
Li, Z.X.[Zhuo-Xiao],
Ji, X.[Xiang],
Zheng, Y.Q.[Yin-Qiang],
RS-NeRF: Neural Radiance Fields from Rolling Shutter Images,
ECCV24(XLVI: 163-180).
Springer DOI
2412
BibRef
Li, R.L.[Rui-Long],
Fidler, S.[Sanja],
Kanazawa, A.[Angjoo],
Williams, F.[Francis],
NeRF-XL: Scaling NeRFs with Multiple GPUs,
ECCV24(XLVIII: 92-107).
Springer DOI
2412
BibRef
Tasneem, Z.[Zaid],
Dave, A.[Akshat],
Singh, A.[Abhishek],
Tiwary, K.[Kushagra],
Vepakomma, P.[Praneeth],
Veeraraghavan, A.[Ashok],
Raskar, R.[Ramesh],
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced
Images,
ECCV24(LIX: 144-161).
Springer DOI
2412
BibRef
Segre, L.[Leo],
Avidan, S.[Shai],
VF-NeRF: Viewshed Fields for Rigid NeRF Registration,
ECCV24(LX: 164-181).
Springer DOI
2412
BibRef
Petit, D.[Doriand],
Bourgeois, S.[Steve],
Pavel, D.[Dumitru],
Gay-Bellile, V.[Vincent],
Chabot, F.[Florian],
Barthe, L.[Loïc],
Ring-NeRF: Rethinking Inductive Biases for Versatile and Efficient
Neural Fields,
ECCV24(XXXV: 148-164).
Springer DOI
2412
BibRef
Zhong, Z.[Zhide],
Cao, J.[Jiakai],
Gu, S.[Songen],
Xie, S.[Sirui],
Luo, L.[Liyi],
Zhao, H.[Hao],
Zhou, G.[Guyue],
Li, H.A.[Hao-Ang],
Yan, Z.[Zike],
Structured-NeRF: Hierarchical Scene Graph with Neural Representation,
ECCV24(XXXV: 184-201).
Springer DOI
2412
BibRef
Xu, B.[Bo],
Liu, Z.[Ziao],
Guo, M.Q.[Meng-Qi],
Li, J.C.[Jian-Cheng],
Lee, G.H.[Gim Hee],
URS-NeRF: Unordered Rolling Shutter Bundle Adjustment for Neural
Radiance Fields,
ECCV24(XXXV: 458-475).
Springer DOI
2412
BibRef
Korhonen, J.[Juuso],
Rangu, G.[Goutham],
Tavakoli, H.R.[Hamed R.],
Kannala, J.H.[Ju-Ho],
Efficient NeRF Optimization - Not All Samples Remain Equally Hard,
ECCV24(XXXVI: 198-213).
Springer DOI
2412
BibRef
Sun, W.W.[Wei-Wei],
Trulls, E.[Eduard],
Tseng, Y.C.[Yang-Che],
Sambandam, S.[Sneha],
Sharma, G.[Gopal],
Tagliasacchi, A.[Andrea],
Yi, K.M.[Kwang Moo],
PointNeRF++: A Multi-scale, Point-based Neural Radiance Field,
ECCV24(XXXVIII: 221-238).
Springer DOI
2412
BibRef
He, Y.S.[Yi-Sheng],
Yuan, W.H.[Wei-Hao],
Zhu, S.[Siyu],
Dong, Z.L.[Zi-Long],
Bo, L.[Liefeng],
Huang, Q.X.[Qi-Xing],
Freditor: High-fidelity and Transferable NeRF Editing by Frequency
Decomposition,
ECCV24(XLI: 73-91).
Springer DOI
2412
BibRef
Park, Y.[Youngin],
Nam, S.[Seungtae],
Hahm, C.H.[Cheul-Hee],
Park, E.[Eunbyung],
FREQ-MIP-AA: Frequency Mip Representation for Anti-Aliasing Neural
Radiance Fields,
ICIP24(3278-3284)
IEEE DOI Code:
WWW Link.
2411
Training, Image coding, Codes, Filtering, Frequency-domain analysis,
Low-pass filters, Neural radiance fields (NeRF), Anti-aliasing,
Frequency domain filter
BibRef
Tang, L.Y.[Lu-Yang],
Zhai, Y.Q.[Yong-Qi],
Wang, R.G.[Rong-Gang],
Compression-Aware Tuning for Compressing Volumetric Radiance Fields,
ICIP24(2250-2256)
IEEE DOI
2411
Training, Image coding, Costs, Vector quantization, Noise,
Rendering (computer graphics), Neural radiance field,
Compact Radiance Fields
BibRef
Sekikawa, Y.[Yusuke],
Hsu, C.[Chingwei],
Ikehata, S.[Satoshi],
Kawakami, R.[Rei],
Sato, I.[Ikuro],
Gumbel-NeRF: Representing Unseen Objects as Part-Compositional Neural
Radiance Fields,
ICIP24(2382-2388)
IEEE DOI
2411
Measurement, Image quality, Training, Shape, Switches
BibRef
Liu, Z.[Zhen],
Zhu, H.[Hao],
Zhang, Q.[Qi],
Fu, J.[Jingde],
Deng, W.B.[Wei-Bing],
Ma, Z.[Zhan],
Guo, Y.W.[Yan-Wen],
Cao, X.[Xun],
FINER: Flexible Spectral-Bias Tuning in Implicit NEural
Representation by Variableperiodic Activation Functions,
CVPR24(2713-2722)
IEEE DOI
2410
Shape, Frequency-domain analysis, Neural networks, Fitting,
Signal processing, Rendering (computer graphics),
Variable-periodic Activation Functions
BibRef
Saratchandran, H.[Hemanth],
Ramasinghe, S.[Sameera],
Lucey, S.[Simon],
From Activation to Initialization:
Scaling Insights for Optimizing Neural Fields,
CVPR24(413-422)
IEEE DOI
2410
Scalability, Neural networks,
Signal representation, Optimization, Convergence, Neural Fields
BibRef
Papa, S.[Samuele],
Valperga, R.[Riccardo],
Knigge, D.[David],
Kofinas, M.[Miltiadis],
Lippe, P.[Phillip],
Sonke, J.J.[Jan-Jakob],
Gavves, E.[Efstratios],
How to Train Neural Field Representations: A Comprehensive Study and
Benchmark,
CVPR24(22616-22625)
IEEE DOI
2410
Representation learning, Accuracy, Shape, Fitting, Benchmark testing,
Neural radiance field, Libraries, neural fields, benchmark
BibRef
Dou, Y.M.[Yi-Ming],
Yang, F.Y.[Feng-Yu],
Liu, Y.[Yi],
Loquercio, A.[Antonio],
Owens, A.[Andrew],
Tactile-Augmented Radiance Fields,
CVPR24(26519-26529)
IEEE DOI Code:
WWW Link.
2410
Location awareness, Visualization, Robot vision systems,
Tactile sensors, Neural radiance field, Cameras
BibRef
Ehret, T.[Thibaud],
Marí, R.[Roger],
Derksen, D.[Dawa],
Gasnier, N.[Nicolas],
Facciolo, G.[Gabriele],
Radar Fields: An Extension of Radiance Fields to SAR,
EarthVision24(564-574)
IEEE DOI
2410
Radar remote sensing, Laser radar, Spaceborne radar,
Computational modeling, Radar imaging, Optical imaging, Radar polarimetry
BibRef
Wang, C.[Chen],
Wang, A.T.[Ang-Tian],
Li, J.[Junbo],
Yuille, A.[Alan],
Xie, C.[Cihang],
Benchmarking Robustness in Neural Radiance Fields,
AML24(2926-2936)
IEEE DOI
2410
Analytical models, Image recognition, Benchmark testing,
Neural radiance field, Feature extraction, Robustness
BibRef
Esposito, S.[Salvatore],
Xu, Q.S.[Qing-Shan],
Kania, K.[Kacper],
Hewitt, C.[Charlie],
Mariotti, O.[Octave],
Petikam, L.[Lohit],
Valentin, J.[Julien],
Onken, A.[Arno],
Aodha, O.M.[Oisin Mac],
GeoGen: Geometry-Aware Generative Modeling via Signed Distance
Functions,
GCV24(7479-7488)
IEEE DOI
2410
Geometry, Training, Representation learning, Solid modeling,
Limiting, Neural radiance field
BibRef
Wang, W.Y.[Wei-Yao],
Gleize, P.[Pierre],
Tang, H.[Hao],
Chen, X.Y.[Xing-Yu],
Liang, K.J.[Kevin J],
Feiszli, M.[Matt],
ICON: Incremental CONfidence for Joint Pose and Radiance Field
Optimization,
CVPR24(5406-5417)
IEEE DOI
2410
Training, Heuristic algorithms, Pipelines, Neural radiance field, Cameras
BibRef
Cannici, M.[Marco],
Scaramuzza, D.[Davide],
Mitigating Motion Blur in Neural Radiance Fields with Events and
Frames,
CVPR24(9286-9296)
IEEE DOI
2410
Training, Adaptation models, Image resolution,
Image color analysis, Fuses, Face recognition, Dynamics, NeRF,
Event Camera
BibRef
Koo, J.[Juil],
Park, C.[Chanho],
Sung, M.[Minhyuk],
Posterior Distillation Sampling,
CVPR24(13352-13361)
IEEE DOI Code:
WWW Link.
2410
Graphics, Stochastic processes, Optimization methods, Diffusion models,
Neural radiance field, Vectors, Diffusion Models, SVG Editing
BibRef
XU, H.F.[Hao-Fei],
Chen, A.[Anpei],
Chen, Y.D.[Yue-Dong],
Sakaridis, C.[Christos],
Zhang, Y.[Yulun],
Pollefeys, M.[Marc],
Geiger, A.[Andreas],
Yu, F.[Fisher],
MuRF: Multi-Baseline Radiance Fields,
CVPR24(20041-20050)
IEEE DOI
2410
Solid modeling, Aggregates, Rendering (computer graphics),
Distance measurement
BibRef
Goli, L.[Lily],
Reading, C.[Cody],
Sellán, S.[Silvia],
Jacobson, A.[Alec],
Tagliasacchi, A.[Andrea],
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields,
CVPR24(20061-20070)
IEEE DOI Code:
WWW Link.
2410
Training, Uncertainty, Perturbation methods, Octrees,
Neural radiance field, Uncertainty Quantification, Neural Radiance Fields
BibRef
Kheradmand, S.[Shakiba],
Rebain, D.[Daniel],
Sharma, G.[Gopal],
Isack, H.[Hossam],
Kar, A.[Abhishek],
Tagliasacchi, A.[Andrea],
Yi, K.M.[Kwang Moo],
Accelerating Neural Field Training via Soft Mining,
CVPR24(20071-20080)
IEEE DOI
2410
Training, Monte Carlo methods, Codes, Fitting, Neural radiance field
BibRef
Ling, H.[Han],
Sun, Q.S.[Quan-Sen],
Sun, Y.H.[Ying-Hui],
Xu, X.[Xian],
Li, X.F.[Xing-Feng],
ADFactory: An Effective Framework for Generalizing Optical Flow With
NeRF,
CVPR24(20591-20600)
IEEE DOI Code:
WWW Link.
2410
Training, Optical losses, Neural radiance field, Cameras,
Rendering (computer graphics), Production facilities, self-supervised
BibRef
Xue, S.J.[Shang-Jie],
Dill, J.[Jesse],
Mathur, P.[Pranay],
Dellaert, F.[Frank],
Tsiotra, P.[Panagiotis],
Xu, D.[Danfei],
Neural Visibility Field for Uncertainty-Driven Active Mapping,
CVPR24(18122-18132)
IEEE DOI Code:
WWW Link.
2410
Training, Visualization, Uncertainty, Robot vision systems,
Pipelines, Neural radiance field, Uncertainty Quantification
BibRef
Ren, W.N.[Wei-Ning],
Zhu, Z.[Zihan],
Sun, B.Y.[Bo-Yang],
Chen, J.Q.[Jia-Qi],
Pollefeys, M.[Marc],
Peng, S.[Songyou],
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in
the Wild,
CVPR24(8931-8940)
IEEE DOI
2410
Uncertainty, Face recognition, Lighting, Neural radiance field,
Image sequences, Convergence
BibRef
Rebain, D.[Daniel],
Yazdani, S.[Soroosh],
Yi, K.M.[Kwang Moo],
Tagliasacchi, A.[Andrea],
Neural Fields as Distributions: Signal Processing Beyond Euclidean
Space,
CVPR24(4274-4283)
IEEE DOI
2410
Training, Manifolds, Measurement errors, Filtering, Lie groups,
Digital signal processing, Neural radiance field, Neural Fields,
Group Theory
BibRef
Shum, K.C.[Ka Chun],
Kim, J.Y.[Jae-Yeon],
Hua, B.S.[Binh-Son],
Nguyen, D.T.[Duc Thanh],
Yeung, S.K.[Sai-Kit],
Language-driven Object Fusion into Neural Radiance Fields with
Pose-Conditioned Dataset Updates,
CVPR24(5176-5187)
IEEE DOI
2410
Training, Solid modeling, Text to image, Neural radiance field, Diffusion models
BibRef
Radl, L.[Lukas],
Kurz, A.[Andreas],
Steiner, M.[Michael],
Steinberger, M.[Markus],
Analyzing the Internals of Neural Radiance Fields,
NRend24(2822-2831)
IEEE DOI
2410
Training, Visualization, Protocols, Network architecture,
Neural radiance field, NeRF, Analysis, Activations
BibRef
Selvaratnam, D.[Dharmendra],
Bazazian, D.[Dena],
Localised-NeRF: Specular Highlights and Colour Gradient Localising in
NeRF,
NRend24(2791-2801)
IEEE DOI
2410
Training, Visualization, Image color analysis,
Neural radiance field, Rendering (computer graphics),
Colour gradient
BibRef
Zou, H.[Hang],
Zhang, H.[Hui],
Zhang, Y.[Yuan],
Ma, H.[Hui],
Zhao, D.[Dexin],
Zhang, Q.[Qi],
Li, Q.[Qi],
Multi-angle Consistent Generative NeRF with Additive Angular Margin
Momentum Contrastive Learning,
FAS24(930-939)
IEEE DOI
2410
Additives, Deformation, Face recognition, Contrastive learning, Production
BibRef
Ballerini, F.[Francesco],
Ramirez, P.Z.[Pierluigi Zama],
Mirabella, R.[Roberto],
Salti, S.[Samuele],
di Stefano, L.[Luigi],
Connecting NeRFs, Images, and Text,
NERF24(866-876)
IEEE DOI
2410
Representation learning, Image processing, Neural radiance field,
3D Neural Fields
BibRef
Ma, L.[Li],
Agrawal, V.[Vasu],
Turki, H.[Haithem],
Kim, C.[Changil],
Gao, C.[Chen],
Sander, P.[Pedro],
Zollhöfer, M.[Michael],
Richardt, C.[Christian],
SpecNeRF: Gaussian Directional Encoding for Specular Reflections,
CVPR24(21188-21198)
IEEE DOI
2410
Geometry, Solid modeling, Shape, Pipelines, Lighting,
Neural radiance field, Specular Reflections, Gaussians
BibRef
Sun, X.T.[Xiao-Tian],
Xu, Q.S.[Qing-Shan],
Yang, X.J.[Xin-Jie],
Zang, Y.[Yu],
Wang, C.[Cheng],
Global and Hierarchical Geometry Consistency Priors for Few-Shot
NeRFs in Indoor Scenes,
CVPR24(20530-20539)
IEEE DOI Code:
WWW Link.
2410
Geometry, Training, Limiting, Shape, Estimation, Predictive models,
Neural radiance field
BibRef
Ahn, J.[Joshua],
Wang, H.C.[Hao-Chen],
Yeh, R.A.[Raymond A.],
Shakhnarovich, G.[Greg],
Alpha Invariance: On Inverse Scaling Between Distance and Volume
Density in Neural Radiance Fields,
CVPR24(20396-20405)
IEEE DOI Code:
WWW Link.
2410
Neural radiance field,
nerf
BibRef
Chen, Y.H.[Yi-Hang],
Wu, Q.Y.[Qian-Yi],
Harandi, M.[Mehrtash],
Cai, J.F.[Jian-Fei],
How Far can we Compress Instant-NGP-Based NeRF?,
CVPR24(20321-20330)
IEEE DOI Code:
WWW Link.
2410
Redundancy, Neural radiance field, Solids,
Rendering (computer graphics), Excavation, NeRF, Instant-NGP,
Context Models
BibRef
Engelhardt, A.[Andreas],
Raj, A.[Amit],
Boss, M.[Mark],
Zhang, Y.Z.[Yun-Zhi],
Kar, A.[Abhishek],
Li, Y.Z.[Yuan-Zhen],
Sun, D.Q.[De-Qing],
Brualla, R.M.[Ricardo Martin],
Barron, J.T.[Jonathan T.],
Lensch, H.P.A.[Hendrik P. A.],
Jampani, V.[Varun],
SHINOBI: Shape and Illumination using Neural Object Decomposition via
BRDF Optimization In-the-wild,
CVPR24(19636-19646)
IEEE DOI
2410
Reflectivity, Shape, Lighting, Cameras,
Rendering (computer graphics), In-the-wild, NeRF, BRDF, Materials,
Decomposition
BibRef
Zhao, Z.L.[Ze-Lin],
Fan, F.L.[Feng-Lei],
Liao, W.L.[Wen-Long],
Yan, J.C.[Jun-Chi],
Grounding and Enhancing Grid-based Models for Neural Fields,
CVPR24(19425-19435)
IEEE DOI
2410
Adaptation models, Analytical models, Solid modeling, Systematics,
Computational modeling, Numerical models, tangent-kernels, NeRF,
3DGS
BibRef
Herau, Q.[Quentin],
Piasco, N.[Nathan],
Bennehar, M.[Moussab],
Roldao, L.[Luis],
Tsishkou, D.[Dzmitry],
Migniot, C.[Cyrille],
Vasseur, P.[Pascal],
Demonceaux, C.[Cédric],
SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using
Neural Radiance Fields,
CVPR24(15131-15140)
IEEE DOI
2410
Accuracy, Neural radiance field, Robustness, Sensors, Calibration,
Trajectory, NeRF, Neural Radiance Field, Calibration, Spatiotemporal,
extrinsic
BibRef
Jang, Y.D.[Young-Dong],
Lee, D.I.[Dong In],
Jang, M.[MinHyuk],
Kim, J.W.[Jong Wook],
Yang, F.[Feng],
Kim, S.[Sangpil],
WateRF: Robust Watermarks in Radiance Fields for Protection of
Copyrights,
CVPR24(12087-12097)
IEEE DOI Code:
WWW Link.
2410
Training, Solid modeling, Watermarking, Transforms,
Neural radiance field, Rendering (computer graphics), NeRF,
CopyRights
BibRef
Tang, Y.K.[Yun-Kai],
Zhu, C.X.[Cheng-Xuan],
Wan, R.J.[Ren-Jie],
Xu, C.[Chao],
Shi, B.X.[Bo-Xin],
Neural Underwater Scene Representation,
CVPR24(11780-11789)
IEEE DOI
2410
Solid modeling, Visualization, Computational modeling, Urban areas,
Lighting, Virtual reality, Neural radiance field, underwater, nerf
BibRef
Liu, Y.C.[Yi-Chen],
Hu, B.[Benran],
Tang, C.K.[Chi-Keung],
Tai, Y.W.[Yu-Wing],
SANeRF-HQ: Segment Anything for NeRF in High Quality,
CVPR24(3216-3226)
IEEE DOI Code:
WWW Link.
2410
Location awareness, Solid modeling, Accuracy, Codes, Face recognition
BibRef
Jeong, J.[Jinseo],
Koo, J.[Junseo],
Zhang, Q.[Qimeng],
Kim, G.[Gunhee],
ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-View Images,
CVPR24(4598-4609)
IEEE DOI
2410
Training, Image color analysis, Neural networks, Lighting,
Dynamic range, Rendering (computer graphics), Reflection, NeRF,
Inverse-rendering
BibRef
Fischer, M.[Michael],
Li, Z.Q.[Zheng-Qin],
Nguyen-Phuoc, T.[Thu],
Božic, A.[Aljaž],
Dong, Z.[Zhao],
Marshall, C.[Carl],
Ritschel, T.[Tobias],
NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs,
CVPR24(4640-4650)
IEEE DOI
2410
Geometry, Visualization, Solid modeling, Semantics,
Neural radiance field, Neural Radiance Fields, NeRFs,
Semantic Correspondence
BibRef
Min, Z.Y.[Zhi-Yuan],
Luo, Y.[Yawei],
Yang, W.[Wei],
Wang, Y.S.[Yue-Song],
Yang, Y.[Yi],
Entangled View-Epipolar Information Aggregation for Generalizable
Neural Radiance Fields,
CVPR24(4906-4916)
IEEE DOI Code:
WWW Link.
2410
Geometry, Codes, Accuracy, Aggregates, Neural radiance field
BibRef
Liu, X.Y.[Xiang-Yue],
Xue, H.[Han],
Luo, K.M.[Kun-Ming],
Tan, P.[Ping],
Yi, L.[Li],
GenN2N: Generative NeRF2NeRF Translation,
CVPR24(5105-5114)
IEEE DOI Code:
WWW Link.
2410
Solid modeling, Codes, Superresolution, Gaussian distribution,
Neural radiance field, Rendering (computer graphics),
NeRF-to-NeRF Translation
BibRef
Ma, Q.[Qi],
Paudel, D.P.[Danda Pani],
Chhatkuli, A.[Ajad],
Van Gool, L.J.[Luc J.],
Continuous Pose for Monocular Cameras in Neural Implicit
Representation,
CVPR24(5291-5301)
IEEE DOI Code:
WWW Link.
2410
Manifolds, Visualization, Simultaneous localization and mapping,
Tracking, Cameras, Neural radiance field
BibRef
Zhu, L.[Lin],
Jia, K.[Kangmin],
Zhao, Y.F.[Yi-Fan],
Qi, Y.S.[Yun-Shan],
Wang, L.Z.[Li-Zhi],
Huang, H.[Hua],
SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike
Stream,
CVPR24(6285-6295)
IEEE DOI Code:
WWW Link.
2410
Representation learning, Source coding, Lighting, Cameras,
Neural radiance field, Rendering (computer graphics), Spike stream
BibRef
Li, X.J.[Xiao-Juan],
Zhang, D.X.[Ding-Xi],
Chen, S.Y.[Shu-Yu],
Liu, F.L.[Feng-Lin],
StrokeFaceNeRF: Stroke-Based Facial Appearance Editing in Neural
Radiance Field,
CVPR24(7538-7547)
IEEE DOI
2410
Geometry, Training, Image color analysis, Semantic segmentation,
Stroke (medical condition), Neural radiance field
BibRef
Radl, L.[Lukas],
Steiner, M.[Michael],
Kurz, A.[Andreas],
Steinberger, M.[Markus],
LAENeRF: Local Appearance Editing for Neural Radiance Fields,
CVPR24(4969-4978)
IEEE DOI
2410
Additives, Memory management, Color, Neural radiance field,
Rendering (computer graphics), Neural Radiance Fields,
Local Appearance Edting
BibRef
Mazzucchelli, A.[Alessio],
Garcia-Garcia, A.[Adrian],
Garces, E.[Elena],
Rivas-Manzaneque, F.[Fernando],
Moreno-Noguer, F.[Francesc],
Penate-Sanchez, A.[Adrian],
IReNe: Instant Recoloring of Neural Radiance Fields,
CVPR24(5937-5946)
IEEE DOI
2410
Training, Image segmentation, Image color analysis, Neurons,
Neural radiance field, Real-time systems, NeRF,
Editing in Neural Radiance Field
BibRef
Poggi, M.[Matteo],
Ramirez, P.Z.[Pierluigi Zama],
Tosi, F.[Fabio],
Salti, S.[Samuele],
Mattoccia, S.[Stefano],
di Stefano, L.[Luigi],
Cross-Spectral Neural Radiance Fields,
3DV22(606-616)
IEEE DOI
2408
Image sensors, Training, Image resolution, Sensitivity,
Image color analysis, Lightning
BibRef
Yuan, S.[Shiran],
Zhao, H.[Hao],
SlimmeRF: Slimmable Radiance Fields,
3DV24(64-74)
IEEE DOI Code:
WWW Link.
2408
Training, Computational modeling, Neural Radiance Fields (NeRFs),
Low-Rank Tensor Approximation, Model Size-Performance Tradeoff,
Memory Efficiency
BibRef
Lin, C.Y.[Chien-Yu],
Fu, Q.[Qichen],
Merth, T.[Thomas],
Yang, K.[Karren],
Ranjan, A.[Anurag],
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A
Simple Super-Resolution Pipeline,
WACV24(6024-6033)
IEEE DOI
2404
Training, Privacy, Portable computers, Computational modeling,
Pipelines, Superresolution, Memory management, Applications,
Virtual / augmented reality
BibRef
Lee, B.[Byeonghyeon],
Lee, H.[Howoong],
Ali, U.[Usman],
Park, E.[Eunbyung],
Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields using
Sharpness Prior,
WACV24(3697-3706)
IEEE DOI Code:
WWW Link.
2404
Training, Degradation, Measurement, Visualization, Lighting,
Rendering (computer graphics), Kernel, Algorithms,
Image recognition and understanding
BibRef
Wang, Y.F.[Yi-Fan],
Gong, Y.[Yi],
Zeng, Y.[Yuan],
Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance
Fields,
WACV24(3677-3686)
IEEE DOI
2404
Costs, Computational modeling, Memory management,
Rendering (computer graphics), Data structures, Encoding,
3D computer vision
BibRef
Zhang, H.[Hao],
Li, F.[Fang],
Ahuja, N.[Narendra],
Open-NeRF: Towards Open Vocabulary NeRF Decomposition,
WACV24(3444-3453)
IEEE DOI Code:
WWW Link.
2404
Vocabulary, Solid modeling, Codes, Proposals, Task analysis,
Algorithms, 3D computer vision
BibRef
Courant, R.[Robin],
Wang, X.[Xi],
Christie, M.[Marc],
Kalogeiton, V.[Vicky],
BluNF: Blueprint Neural Field,
AI3DCC23(2870-2879)
IEEE DOI
2401
BibRef
Wewer, C.[Christopher],
Ilg, E.[Eddy],
Schiele, B.[Bernt],
Lenssen, J.E.[Jan Eric],
SimNP: Learning Self-Similarity Priors Between Neural Points,
ICCV23(8807-8818)
IEEE DOI
2401
BibRef
Yi, B.[Brent],
Zeng, W.J.[Wei-Jia],
Buchanan, S.[Sam],
Ma, Y.[Yi],
Canonical Factors for Hybrid Neural Fields,
ICCV23(3391-3403)
IEEE DOI
2401
BibRef
Chen, Z.[Zhang],
Li, Z.[Zhong],
Song, L.C.[Liang-Chen],
Chen, L.[Lele],
Yu, J.Y.[Jing-Yi],
Yuan, J.S.[Jun-Song],
Xu, Y.[Yi],
NeuRBF: A Neural Fields Representation with Adaptive Radial Basis
Functions,
ICCV23(4159-4171)
IEEE DOI
2401
BibRef
Gu, J.[Jeffrey],
Wang, K.C.[Kuan-Chieh],
Yeung, S.[Serena],
Generalizable Neural Fields as Partially Observed Neural Processes,
ICCV23(5307-5316)
IEEE DOI
2401
BibRef
Gao, Q.[Quankai],
Xu, Q.[Qiangeng],
Su, H.[Hao],
Neumann, U.[Ulrich],
Xu, Z.X.[Ze-Xiang],
Strivec: Sparse Tri-Vector Radiance Fields,
ICCV23(17523-17533)
IEEE DOI
2401
BibRef
Lee, D.[Dongwoo],
Oh, J.[Jeongtaek],
Rim, J.[Jaesung],
Cho, S.[Sunghyun],
Lee, K.M.[Kyoung Mu],
ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images,
ICCV23(17593-17602)
IEEE DOI
2401
BibRef
Guizilini, V.[Vitor],
Vasiljevic, I.[Igor],
Fang, J.[Jiading],
Ambrus, R.[Rares],
Zakharov, S.[Sergey],
Sitzmann, V.[Vincent],
Gaidon, A.[Adrien],
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields,
ICCV23(17889-17899)
IEEE DOI Code:
WWW Link.
2401
BibRef
Xie, Z.[Zeke],
Yang, X.[Xindi],
Yang, Y.J.[Yu-Jie],
Sun, Q.[Qi],
Jiang, Y.X.[Yi-Xiang],
Wang, H.R.[Hao-Ran],
Cai, Y.F.[Yun-Feng],
Sun, M.M.[Ming-Ming],
S3IM: Stochastic Structural SIMilarity and Its Unreasonable
Effectiveness for Neural Fields,
ICCV23(17978-17988)
IEEE DOI
2401
BibRef
Hu, W.B.[Wen-Bo],
Wang, Y.L.[Yu-Ling],
Ma, L.[Lin],
Yang, B.B.[Bang-Bang],
Gao, L.[Lin],
Liu, X.[Xiao],
Ma, Y.W.[Yue-Wen],
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural
Radiance Fields,
ICCV23(19717-19726)
IEEE DOI Code:
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Delicate Textured Mesh Recovery from NeRF via Adaptive Surface
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Li, R.L.[Rui-Long],
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ICIP23(630-634)
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Improving NERF with Height Data for Utilization of GIS Data,
ICIP23(935-939)
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ICIP23(470-474)
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Masked Wavelet Representation for Compact Neural Radiance Fields,
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CVPR23(4190-4200)
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JacobiNeRF: NeRF Shaping with Mutual Information Gradients,
CVPR23(16498-16507)
IEEE DOI
2309
BibRef
Metzer, G.[Gal],
Richardson, E.[Elad],
Patashnik, O.[Or],
Giryes, R.[Raja],
Cohen-Or, D.[Daniel],
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures,
CVPR23(12663-12673)
IEEE DOI
2309
BibRef
Saeed, F.[Farah],
Sun, J.[Jin],
Ozias-Akins, P.[Peggy],
Chu, Y.J.[Ye Juliet],
Li, C.Y.C.[Chang-Ying Charlie],
PeanutNeRF: 3D Radiance Field for Peanuts,
AgriVision23(6254-6263)
IEEE DOI
2309
BibRef
Nguyen, N.P.[Nguyen P.],
Surya, R.[Ramakrishna],
Calyam, P.[Prasad],
Palaniappan, K.[Kannappan],
Maschmann, M.[Matthew],
Bunyak, F.[Filiz],
CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM
Imagery using Generative Adversarial Networks,
LightField23(3428-3437)
IEEE DOI
2309
BibRef
Marí, R.[Roger],
Facciolo, G.[Gabriele],
Ehret, T.[Thibaud],
Multi-Date Earth Observation NeRF: The Detail Is in the Shadows,
EarthVision23(2035-2045)
IEEE DOI
2309
BibRef
Hu, B.[Benran],
Huang, J.K.[Jun-Kai],
Liu, Y.C.[Yi-Chen],
Tai, Y.W.[Yu-Wing],
Tang, C.K.[Chi-Keung],
NeRF-RPN: A general framework for object detection in NeRFs,
CVPR23(23528-23538)
IEEE DOI
2309
BibRef
Bao, C.[Chong],
Zhang, Y.D.[Yin-Da],
Yang, B.B.[Bang-Bang],
Fan, T.X.[Tian-Xing],
Yang, Z.[Zesong],
Bao, H.J.[Hu-Jun],
Zhang, G.F.[Guo-Feng],
Cui, Z.P.[Zhao-Peng],
SINE: Semantic-driven Image-based NeRF Editing with Prior-guided
Editing Field,
CVPR23(20919-20929)
IEEE DOI
2309
BibRef
Chen, J.K.[Jun-Kun],
Lyu, J.P.[Ji-Peng],
Wang, Y.X.[Yu-Xiong],
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point
Clouds,
CVPR23(12439-12448)
IEEE DOI
2309
BibRef
Prinzler, M.[Malte],
Hilliges, O.[Otmar],
Thies, J.[Justus],
DINER: Depth-aware Image-based NEural Radiance fields,
CVPR23(12449-12459)
IEEE DOI
2309
BibRef
Fridovich-Keil, S.[Sara],
Meanti, G.[Giacomo],
Warburg, F.R.[Frederik Rahbæk],
Recht, B.[Benjamin],
Kanazawa, A.[Angjoo],
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance,
CVPR23(12479-12488)
IEEE DOI
2309
BibRef
Chen, Y.[Yu],
Lee, G.H.[Gim Hee],
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields,
CVPR23(24-34)
IEEE DOI
2309
BibRef
Chen, Y.[Yue],
Chen, X.Y.[Xing-Yu],
Wang, X.[Xuan],
Zhang, Q.[Qi],
Guo, Y.[Yu],
Shan, Y.[Ying],
Wang, F.[Fei],
Local-to-Global Registration for Bundle-Adjusting Neural Radiance
Fields,
CVPR23(8264-8273)
IEEE DOI
2309
BibRef
Zhu, B.F.[Bing-Fan],
Yang, Y.C.[Yan-Chao],
Wang, X.L.[Xu-Long],
Zheng, Y.Y.[You-Yi],
Guibas, L.J.[Leonidas J.],
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence
Normalization,
CVPR23(35-45)
IEEE DOI
2309
BibRef
Jiang, Y.F.[Yi-Fan],
Hedman, P.[Peter],
Mildenhall, B.[Ben],
Xu, D.[Dejia],
Barron, J.T.[Jonathan T.],
Wang, Z.Y.[Zhang-Yang],
Xue, T.F.[Tian-Fan],
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware
Training,
CVPR23(46-55)
IEEE DOI
2309
BibRef
Levy, D.[Deborah],
Peleg, A.[Amit],
Pearl, N.[Naama],
Rosenbaum, D.[Dan],
Akkaynak, D.[Derya],
Korman, S.[Simon],
Treibitz, T.[Tali],
SeaThru-NeRF: Neural Radiance Fields in Scattering Media,
CVPR23(56-65)
IEEE DOI
2309
BibRef
Isaac-Medina, B.K.S.[Brian K. S.],
Willcocks, C.G.[Chris G.],
Breckon, T.P.[Toby P.],
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization
for Neural Radiance Fields,
CVPR23(66-75)
IEEE DOI
2309
BibRef
Huang, X.[Xin],
Zhang, Q.[Qi],
Feng, Y.[Ying],
Li, X.Y.[Xiao-Yu],
Wang, X.[Xuan],
Wang, Q.[Qing],
Local Implicit Ray Function for Generalizable Radiance Field
Representation,
CVPR23(97-107)
IEEE DOI
2309
BibRef
Gao, Y.M.[Yi-Ming],
Cao, Y.P.[Yan-Pei],
Shan, Y.[Ying],
SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic
Reconstruction of Indoor Scenes,
CVPR23(108-118)
IEEE DOI
2309
BibRef
Wang, Z.[Zian],
Chen, W.Z.[Wen-Zheng],
Acuna, D.[David],
Kautz, J.[Jan],
Fidler, S.[Sanja],
Neural Light Field Estimation for Street Scenes with Differentiable
Virtual Object Insertion,
ECCV22(II:380-397).
Springer DOI
2211
BibRef
Jun-Seong, K.[Kim],
Yu-Ji, K.[Kim],
Ye-Bin, M.[Moon],
Oh, T.H.[Tae-Hyun],
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields,
ECCV22(XXXII:384-401).
Springer DOI
2211
BibRef
Wang, Y.X.[Yun-Xiao],
Li, Y.J.[Yan-Jie],
Liu, P.D.[Pei-Dong],
Dai, T.[Tao],
Xia, S.T.[Shu-Tao],
NeXT: Towards High Quality Neural Radiance Fields via Multi-skip
Transformer,
ECCV22(XXXII:69-86).
Springer DOI
2211
BibRef
Mirzaei, A.[Ashkan],
Kant, Y.[Yash],
Kelly, J.[Jonathan],
Gilitschenski, I.[Igor],
LaTeRF: Label and Text Driven Object Radiance Fields,
ECCV22(III:20-36).
Springer DOI
2211
BibRef
Rebain, D.[Daniel],
Matthews, M.[Mark],
Yi, K.M.[Kwang Moo],
Lagun, D.[Dmitry],
Tagliasacchi, A.[Andrea],
LOLNeRF: Learn from One Look,
CVPR22(1548-1557)
IEEE DOI
2210
Training, Geometry, Solid modeling, Costs, Shape, Data models,
3D from single images, Face and gestures, Vision+graphics
BibRef
Zhao, F.Q.[Fu-Qiang],
Yang, W.[Wei],
Zhang, J.K.[Jia-Kai],
Lin, P.[Pei],
Zhang, Y.L.[Ying-Liang],
Yu, J.Y.[Jing-Yi],
Xu, L.[Lan],
HumanNeRF:
Efficiently Generated Human Radiance Field from Sparse Inputs,
CVPR22(7733-7743)
IEEE DOI
2210
Training, Telepresence, Dynamics, Entertainment industry,
Rendering (computer graphics), Cameras, Pose estimation and tracking
BibRef
Chen, A.[Anpei],
Xu, Z.X.[Ze-Xiang],
Geiger, A.[Andreas],
Yu, J.Y.[Jing-Yi],
Su, H.[Hao],
TensoRF: Tensorial Radiance Fields,
ECCV22(XXXII:333-350).
Springer DOI
2211
BibRef
Shen, J.X.[Jian-Xiong],
Agudo, A.[Antonio],
Moreno-Noguer, F.[Francesc],
Ruiz, A.[Adria],
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty
Quantification,
ECCV22(III:540-557).
Springer DOI
2211
BibRef
Zhuang, Y.[Yiyu],
Zhu, H.[Hao],
Sun, X.[Xusen],
Cao, X.[Xun],
MoFaNeRF: Morphable Facial Neural Radiance Field,
ECCV22(III:268-285).
Springer DOI
2211
BibRef
Zhang, K.[Kai],
Kolkin, N.[Nick],
Bi, S.[Sai],
Luan, F.[Fujun],
Xu, Z.X.[Ze-Xiang],
Shechtman, E.[Eli],
Snavely, N.[Noah],
ARF: Artistic Radiance Fields,
ECCV22(XXXI:717-733).
Springer DOI
2211
BibRef
Xu, T.[Tianhan],
Harada, T.[Tatsuya],
Deforming Radiance Fields with Cages,
ECCV22(XXXIII:159-175).
Springer DOI
2211
BibRef
Chen, D.[Di],
Liu, Y.[Yu],
Huang, L.H.[Liang-Hua],
Wang, B.[Bin],
Pan, P.[Pan],
GeoAug: Data Augmentation for Few-Shot NeRF with Geometry Constraints,
ECCV22(XVII:322-337).
Springer DOI
2211
BibRef
Xu, D.[Dejia],
Jiang, Y.F.[Yi-Fan],
Wang, P.H.[Pei-Hao],
Fan, Z.W.[Zhi-Wen],
Shi, H.[Humphrey],
Wang, Z.Y.[Zhang-Yang],
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a
Single Image,
ECCV22(XXII:736-753).
Springer DOI
2211
BibRef
Ge, Y.H.[Yun-Hao],
Behl, H.[Harkirat],
Xu, J.[Jiashu],
Gunasekar, S.[Suriya],
Joshi, N.[Neel],
Song, Y.[Yale],
Wang, X.[Xin],
Itti, L.[Laurent],
Vineet, V.[Vibhav],
Neural-Sim: Learning to Generate Training Data with NeRF,
ECCV22(XXIII:477-493).
Springer DOI
2211
BibRef
Pan, X.[Xuran],
Lai, Z.H.[Zi-Hang],
Song, S.[Shiji],
Huang, G.[Gao],
ActiveNeRF: Learning Where to See with Uncertainty Estimation,
ECCV22(XXXIII:230-246).
Springer DOI
2211
BibRef
Fujitomi, T.[Taku],
Sakurada, K.[Ken],
Hamaguchi, R.[Ryuhei],
Shishido, H.[Hidehiko],
Onishi, M.[Masaki],
Kameda, Y.[Yoshinari],
LB-NERF: Light Bending Neural Radiance Fields for Transparent Medium,
ICIP22(2142-2146)
IEEE DOI
2211
Learning systems, Image color analysis, Refractive index, Bending,
Rendering (computer graphics), Cameras, transparent medium, volume rendering
BibRef
Wang, C.[Can],
Chai, M.L.[Meng-Lei],
He, M.M.[Ming-Ming],
Chen, D.D.[Dong-Dong],
Liao, J.[Jing],
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance
Fields,
CVPR22(3825-3834)
IEEE DOI
2210
Codes, Shape, Image color analysis, Training data,
Optimization methods, Rendering (computer graphics),
3D from multi-view and sensors
BibRef
Ma, L.[Li],
Li, X.Y.[Xiao-Yu],
Liao, J.[Jing],
Zhang, Q.[Qi],
Wang, X.[Xuan],
Wang, J.[Jue],
Sander, P.V.[Pedro V.],
Deblur-NeRF: Neural Radiance Fields from Blurry Images,
CVPR22(12851-12860)
IEEE DOI
2210
Deformable models, Training, Photography, Sensors,
3D from multi-view and sensors, Computational photography
BibRef
Johari, M.M.[Mohammad Mahdi],
Lepoittevin, Y.[Yann],
Fleuret, F.[François],
GeoNeRF: Generalizing NeRF with Geometry Priors,
CVPR22(18344-18347)
IEEE DOI
2210
Geometry, Image sensors, Adaptation models, Costs,
Computational modeling,
RGBD sensors and analytics
BibRef
Guo, Y.C.[Yuan-Chen],
Kang, D.[Di],
Bao, L.C.[Lin-Chao],
He, Y.[Yu],
Zhang, S.H.[Song-Hai],
NeRFReN: Neural Radiance Fields with Reflections,
CVPR22(18388-18397)
IEEE DOI
2210
Training, Image sensors, Graphics, Image analysis,
Rendering (computer graphics), Reflection, Vision + graphics
BibRef
Wadhwani, K.[Krishna],
Kojima, T.[Tamaki],
SqueezeNeRF: Further factorized FastNeRF for memory-efficient
inference,
ECV22(2716-2724)
IEEE DOI
2210
Conferences, Neural networks, Graphics processing units, Cameras,'
Real-time systems
BibRef
Xu, Q.G.[Qian-Geng],
Xu, Z.X.[Ze-Xiang],
Philip, J.[Julien],
Fridovich-Keil, S.[Sara],
Yu, A.[Alex],
Tancik, M.[Matthew],
Chen, Q.H.[Qin-Hong],
Recht, B.[Benjamin],
Kanazawa, A.[Angjoo],
Plenoxels: Radiance Fields without Neural Networks,
CVPR22(5491-5500)
IEEE DOI
2210
Visualization, Gradient methods, Codes, Neural networks,
Benchmark testing, 3D from multi-view and sensors,
Vision + graphics
BibRef
Rematas, K.[Konstantinos],
Liu, A.[Andrew],
Srinivasan, P.[Pratul],
Barron, J.[Jonathan],
Tagliasacchi, A.[Andrea],
Funkhouser, T.[Thomas],
Ferrari, V.[Vittorio],
Urban Radiance Fields,
CVPR22(12922-12932)
IEEE DOI
2210
Surface reconstruction, Image segmentation, Solid modeling,
Laser radar, Urban areas, Neural networks,
Vision + graphics
BibRef
Deng, K.[Kangle],
Liu, A.[Andrew],
Zhu, J.Y.[Jun-Yan],
Ramanan, D.[Deva],
Depth-supervised NeRF: Fewer Views and Faster Training for Free,
CVPR22(12872-12881)
IEEE DOI
2210
Training, Geometry, Uncertainty, Pipelines,
Rendering (computer graphics), Surface fitting, Vision + graphics
BibRef
Chen, T.L.[Tian-Long],
Wang, P.H.[Pei-Hao],
Fan, Z.W.[Zhi-Wen],
Wang, Z.Y.[Zhang-Yang],
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level
Physically-Grounded Augmentations,
CVPR22(15170-15181)
IEEE DOI
2210
Training, Manifolds, Interpolation, Perturbation methods, Pipelines,
Image capture, Rendering (computer graphics),
3D from multi-view and sensors
BibRef
Yuan, Y.J.[Yu-Jie],
Sun, Y.T.[Yang-Tian],
Lai, Y.K.[Yu-Kun],
Ma, Y.W.[Yue-Wen],
Jia, R.F.[Rong-Fei],
Gao, L.[Lin],
NeRF-Editing: Geometry Editing of Neural Radiance Fields,
CVPR22(18332-18343)
IEEE DOI
2210
Geometry, Deep learning, Shape, Image color analysis,
Neural networks, Rendering (computer graphics), Vision + graphics
BibRef
Cai, S.Q.[Sheng-Qu],
Obukhov, A.[Anton],
Dai, D.X.[Deng-Xin],
Van Gool, L.J.[Luc J.],
Pix2NeRF: Unsupervised Conditional pi-GAN for Single Image to Neural
Radiance Fields Translation,
CVPR22(3971-3980)
IEEE DOI
2210
Training, Visualization, Social networking (online), Pipelines,
Superresolution, 3D from single images,
Vision + graphics
BibRef
Park, K.[Keunhong],
Sinha, U.[Utkarsh],
Barron, J.T.[Jonathan T.],
Bouaziz, S.[Sofien],
Goldman, D.B.[Dan B],
Seitz, S.M.[Steven M.],
Martin-Brualla, R.[Ricardo],
Nerfies: Deformable Neural Radiance Fields,
ICCV21(5845-5854)
IEEE DOI
2203
Deformable models, Geometry, Adaptation models,
Optimization methods, Rendering (computer graphics),
BibRef
Meng, Q.[Quan],
Chen, A.[Anpei],
Luo, H.M.[Hai-Min],
Wu, M.[Minye],
Su, H.[Hao],
Xu, L.[Lan],
He, X.M.[Xu-Ming],
Yu, J.Y.[Jing-Yi],
GNeRF: GAN-based Neural Radiance Field without Posed Camera,
ICCV21(6331-6341)
IEEE DOI
2203
Pose estimation, Cameras, Generative adversarial networks,
Trajectory, Optimization, Stereo,
Representation learning
BibRef
Jang, W.[Wonbong],
Agapito, L.[Lourdes],
CodeNeRF: Disentangled Neural Radiance Fields for Object Categories,
ICCV21(12929-12938)
IEEE DOI
2203
Codes, Shape, Image color analysis, Process control,
Benchmark testing, 3D from a single image and shape-from-x,
3D from multiview and other sensors
BibRef
Martin-Brualla, R.[Ricardo],
Radwan, N.[Noha],
Sajjadi, M.S.M.[Mehdi S. M.],
Barron, J.T.[Jonathan T.],
Dosovitskiy, A.[Alexey],
Duckworth, D.[Daniel],
NeRF in the Wild:
Neural Radiance Fields for Unconstrained Photo Collections,
CVPR21(7206-7215)
IEEE DOI
2111
Learning systems, Solid modeling, Photorealism,
Image color analysis, Lighting, Rendering (computer graphics)
BibRef
Hong, Y.[Yang],
Peng, B.[Bo],
Xiao, H.[Haiyao],
Liu, L.G.[Li-Gang],
Zhang, J.[Juyong],
HeadNeRF: A Realtime NeRF-based Parametric Head Model,
CVPR22(20342-20352)
IEEE DOI
2210
Ethics, Head, Semantics, Rendering (computer graphics),
Real-time systems, Face and gestures,
Vision + graphics
BibRef
Ouyang, H.[Hao],
Shi, Z.F.[Zi-Fan],
Lei, C.Y.[Chen-Yang],
Law, K.L.[Ka Lung],
Chen, Q.F.[Qi-Feng],
Neural Camera Simulators,
CVPR21(7696-7705)
IEEE DOI
2111
Deep learning, Training, ISO, Detectors, Apertures, Cameras, Feature extraction
BibRef
Yu, A.[Alex],
Ye, V.[Vickie],
Tancik, M.[Matthew],
Kanazawa, A.[Angjoo],
pixelNeRF: Neural Radiance Fields from One or Few Images,
CVPR21(4576-4585)
IEEE DOI
2111
Convolutional codes, Solid modeling,
Image resolution,
Benchmark testing
BibRef
Kissner, M.[Michael],
Mayer, H.[Helmut],
A Neural-Symbolic Architecture for Inverse Graphics Improved by
Lifelong Meta-learning,
GCPR19(471-484).
Springer DOI
1911
De-rendering a scene into semantic information feed-forward, as well
as rendering it feed-backward.
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Neural Radiance Fields, NeRF for Point Clouds, 3-D .