11.2.1.3.6 Neural Rendering

Chapter Contents (Back)
Rendering. Neural Rendering. NeRF.
See also View Synthesis using Neural Radiance Fields, Scene Reconstruction, NeRF.
See also Novel View Systhesis Using Neural Radiance Fields, NeRF.
See also Light Source Direction Computations, Illumination Information, Illuminant.

Liu, Y.T.[Yu-Tao], Wang, L.[Li], Yang, J.[Jie], Chen, W.[Weikai], Meng, X.X.[Xiao-Xu], Yang, B.[Bo], Gao, L.[Lin],
NeUDF: Learning Neural Unsigned Distance Fields With Volume Rendering,
PAMI(46), No. 4, April 2024, pp. 2364-2377.
IEEE DOI 2403
BibRef
Earlier:
NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering,
CVPR23(237-247)
IEEE DOI 2309
Surface reconstruction, Rendering (computer graphics), Image reconstruction, Shape, Image color analysis, Topology, open surfaces BibRef

Chen, X.[Xu], Jiang, T.J.[Tian-Jian], Song, J.[Jie], Rietmann, M.[Max], Geiger, A.[Andreas], Black, M.J.[Michael J.], Hilliges, O.[Otmar],
Fast-SNARF: A Fast Deformer for Articulated Neural Fields,
PAMI(45), No. 10, October 2023, pp. 11796-11809.
IEEE DOI 2310
BibRef

Chen, X.[Xu], Zheng, Y.F.[Yu-Feng], Black, M.J.[Michael J.], Hilliges, O.[Otmar], Geiger, A.[Andreas],
SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes,
ICCV21(11574-11584)
IEEE DOI 2203
Training, Deformable models, Shape, Biological system modeling, Rendering (computer graphics), Gestures and body pose, BibRef

Hong, H.[Han], Ye, Q.[Qing], Xiong, K.[Keyun], Tao, Q.[Qing], Wan, Y.Q.[Yi-Qian],
FGS-NeRF: A fast glossy surface reconstruction method based on voxel and reflection directions,
IVC(155), 2025, pp. 105455.
Elsevier DOI Code:
WWW Link. 2503
Surface reconstruction, Neural radiance fields, Glossy surface BibRef

Chang, S.[Song], Lin, Y.[Youfang], Zhang, S.[Shuo],
Structure-Aware Pre-Selected Neural Rendering for Light Field Reconstruction,
MultMed(27), 2025, pp. 1574-1587.
IEEE DOI 2503
Rendering (computer graphics), Image reconstruction, Feature extraction, Neural radiance field, Optimization, reconstruction BibRef

Luo, X.[Xianrui], Wu, Z.J.[Zi-Jin], Peng, J.[Juewen], Sun, H.Q.[Hui-Qiang], Cao, Z.G.[Zhi-Guo], Lin, G.S.[Guo-Sheng],
Dual-Camera All-in-Focus Neural Radiance Fields,
PAMI(47), No. 5, May 2025, pp. 4075-4089.
IEEE DOI 2504
Cameras, Neural radiance field, Image color analysis, Smart phones, Rendering (computer graphics), Training, Apertures, Geometry, novel view synthesis BibRef

Zhang, Y.[Yisu], Zhu, J.K.[Jian-Ke], Lin, L.X.[Li-Xiang],
Hexagonal mesh-based neural rendering for real-time rendering and fast reconstruction,
CVIU(255), 2025, pp. 104335.
Elsevier DOI Code:
WWW Link. 2504
Reconstruction from multi-view images, Neural rendering, Real-time rendering, Mesh regularization BibRef

Zhao, Y.P.[Yan-Peng], Hao, Y.W.[Yi-Wei], Gao, S.[Siyu], Wang, Y.[Yunbo], Yang, X.K.[Xiao-Kang],
Dynamic Scene Understanding Through Object-Centric Voxelization and Neural Rendering,
PAMI(47), No. 5, May 2025, pp. 4215-4231.
IEEE DOI 2504
Semantics, Rendering (computer graphics), Neural radiance field, Videos, Geometry, Cameras, Training, Solid modeling, Deformation, object-centric representation learning BibRef

Yin, R.H.[Rui-Hong], Chen, Y.L.[Yun-Lu], Karaoglu, S.[Sezer], Gevers, T.[Theo],
Exploring dynamic plane representations for neural scene reconstruction,
PR(166), 2025, pp. 111683.
Elsevier DOI 2505
Indoor scene reconstruction, NeRF, Plane representation BibRef

Chen, Y.[Yang], Zhang, L.[Lin], Zhao, S.J.[Sheng-Jie], Zhou, Y.C.[Yi-Cong],
ATM-NeRF: Accelerating Training for NeRF Rendering on Mobile Devices via Geometric Regularization,
MultMed(27), 2025, pp. 3279-3293.
IEEE DOI 2506
Neural radiance field, Rendering (computer graphics), Training, Optimization, Geometry, Surface reconstruction, novel view synthesis BibRef

Kom-Betzer, I.[Inbal], Ronen, R.[Roi], Holodovsky, V.[Vadim], Schechner, Y.Y.[Yoav Y.], Koren, I.[Ilan],
NeMF: Neural Microphysics Fields,
PAMI(47), No. 9, September 2025, pp. 7218-7230.
IEEE DOI 2508
Clouds, Vectors, Scattering, Neural radiance field, Rendering (computer graphics), Liquids, Earth, Training, 3D reconstruction BibRef

Liang, W.L.[Wan-Lin], Xu, H.B.[Hong-Bin], Gan, W.[Wanshui], Kang, W.X.[Wen-Xiong],
Zero-Shot Text-Driven Dynamic Neural Radiance Fields Stylization,
MultMed(27), 2025, pp. 5895-5908.
IEEE DOI 2510
Neural radiance field, Training, Image color analysis, Feature extraction, Visualization, Rendering (computer graphics), text-driven stylization BibRef

Suhail, M.[Mohammed], Esteves, C.[Carlos], Sigal, L.[Leonid], Makadia, A.[Ameesh],
Light Field Neural Rendering,
PAMI(47), No. 11, November 2025, pp. 9523-9534.
IEEE DOI 2510
Rendering (computer graphics), Image color analysis, Transformers, Image reconstruction, view-synthesis BibRef

Liao, Y.[Yun], Di, Y.[Yide], Zhou, H.[Hao], Zhu, K.J.[Kai-Jun], Lu, M.Y.[Ming-Yu], Duan, Q.[Qing], Liu, J.H.[Jun-Hui],
A Survey on Neural Radiance Fields,
Surveys(58), No. 2, September 2025, pp. xx-yy.
DOI Link 2511
Survey, NERF. View synthesis, neural radiance Fields, scene representation, volume rendering BibRef


Li, Z.Q.[Zheng-Qin], Wang, D.[Dilin], Chen, K.[Ka], Lv, Z.Y.[Zhao-Yang], Nguyen-Phuoc, T.[Thu], Lee, M.[Milim], Huang, J.B.[Jia-Bin], Xiao, L.[Lei], Zhu, Y.F.[Yu-Feng], Marshall, C.S.[Carl S.], Ren, Y.H.[Yu-Heng], Newcombe, R.[Richard], Dong, Z.[Zhao],
LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields,
CVPR25(505-517)
IEEE DOI 2508
Geometry, Training, Shape, Rendering (computer graphics), Transformers, Encoding, Standards, Engines, inverse rendering, sparse view reconstruction BibRef

Wu, S.[Sean], Basu, S.[Shamik], Brödermann, T.[Tim], Van Gool, L.J.[Luc J.], Sakaridis, C.[Christos],
PBR-NeRF: Inverse Rendering with Physics-Based Neural Fields,
CVPR25(10974-10984)
IEEE DOI Code:
WWW Link. 2508
Geometry, Adaptation models, Solid modeling, Estimation, Lighting, Rendering (computer graphics), Neural radiance field, BRDF BibRef

Wang, Y.[You], Fang, L.[Li], Zhu, H.[Hao], Hu, F.[Fei], Ye, L.[Long], Ma, Z.[Zhan],
GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis*,
CVPR25(21349-21359)
IEEE DOI Code:
WWW Link. 2508
Geometry, Visualization, Accuracy, Rendering (computer graphics), Transformers, Neural radiance field, Feature extraction, Kernel, Image reconstruction BibRef

Sun, C.[Cheng], Choe, J.[Jaesung], Loop, C.[Charles], Ma, W.C.[Wei-Chiu], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering,
CVPR25(16187-16196)
IEEE DOI 2508
Adaptation models, Scalability, Neural networks, Fitting, Rendering (computer graphics), Real-time systems, sparse voxel BibRef

Lincetto, F.[Federico], Agresti, G.[Gianluca], Rossi, M.[Mattia], Zanuttigh, P.[Pietro],
MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities,
CVPR25(10964-10973)
IEEE DOI 2508
Training, Solid modeling, Pipelines, Training data, Switches, Rendering (computer graphics), Neural radiance field, multimodalstudio BibRef

Zhang, W.Y.[Wen-Yuan], Jia, E.Y.T.[Emily Yue-Ting], Zhou, J.S.[Jun-Sheng], Ma, B.R.[Bao-Rui], Shi, K.[Kanle], Liu, Y.S.[Yu-Shen], Han, Z.Z.[Zhi-Zhong],
NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction,
CVPR25(11317-11327)
IEEE DOI Code:
WWW Link. 2508
Geometry, Surface reconstruction, Image color analysis, Estimation, Neural radiance field, Rendering (computer graphics), Overfitting BibRef

Lin, C.Y.[Chin-Yang], Wu, C.H.[Chung-Ho], Yeh, C.H.[Chang-Han], Yen, S.H.[Shih-Han], Sun, C.[Cheng], Liu, Y.L.[Yu-Lun],
FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors,
CVPR25(11227-11238)
IEEE DOI 2508
Training, Accuracy, Face recognition, Training data, Neural radiance field, Convergence, Overfitting BibRef

Fang, L.[Li], Zhu, H.[Hao], Chen, L.L.[Long-Long], Hu, F.[Fei], Ye, L.[Long], Ma, Z.[Zhan],
Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction*,
CVPR25(11217-11226)
IEEE DOI Code:
WWW Link. 2508
Interpolation, Redundancy, Rendering (computer graphics), Sampling methods, Neural radiance field, Real-time systems, Image reconstruction BibRef

Malik, A.[Anagh], Attal, B.[Benjamin], Xie, A.[Andrew], O'Toole, M.[Matthew], Lindell, D.B.[David B.],
Neural Inverse Rendering from Propagating Light,
CVPR25(10534-10544)
IEEE DOI 2508
Award, CVPR, Student Paper. Solid modeling, Laser radar, Rendering (computer graphics), Videos, graphics, inverse rendering, nerf, 3d sensors, lidar, neural rendering, 3d vision BibRef

Held, J.[Jan], Vandeghen, R.[Renaud], Hamdi, A.[Abdullah], Deliege, A.[Adrien], Cioppa, A.[Anthony], Giancola, S.[Silvio], Vedaldi, A.[Andrea], Ghanem, B.[Bernard], Droogenbroeck, M.V.[Marc Van],
3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes,
CVPR25(24360-21369)
IEEE DOI Code:
WWW Link. 2508
Surface reconstruction, Solid modeling, Shape, Image edge detection, Rendering (computer graphics), multi-view reconstruction BibRef

Shao, M.Q.[Ming-Qi], Xiong, F.[Feng], Zhang, H.[Hang], Yang, S.[Shuang], Xu, M.[Mu], Bian, W.[Wei], Wang, X.Q.[Xue-Qian],
Global-Guided Focal Neural Radiance Field for Large-Scale Scene Rendering,
WACV25(2558-2567)
IEEE DOI Code:
WWW Link. 2505
Training, Geometry, Rendering (computer graphics), Neural radiance field, Complexity theory BibRef

Zhang, Z.[Zitian], Fortier-Chouinard, F.[Frédéric], Garon, M.[Mathieu], Bhattad, A.[Anand], Lalonde, J.F.[Jean-François],
Zerocomp: Zero-Shot Object Compositing from Image Intrinsics via Diffusion,
WACV25(483-494)
IEEE DOI 2505
Training, Geometry, Lighting, Estimation, Benchmark testing, Rendering (computer graphics), Diffusion models, Engines, neural renderer BibRef

Boeder, S.[Simon], Risse, B.[Benjamin],
OccFlowNet: Occupancy Estimation via Differentiable Rendering and Occupancy Flow,
WACV25(306-316)
IEEE DOI 2505
Training, Solid modeling, Laser radar, Scalability, Semantics, Estimation, Rendering (computer graphics), Neural radiance field, occupancy flow BibRef

Li, L.C.[Liang-Chen], Zhang, J.[Juyong],
L0-Sampler: An L0Model Guided Volume Sampling for NeRF,
CVPR24(21390-21400)
IEEE DOI Code:
WWW Link. 2410
Interpolation, Codes, Neural radiance field, Rendering (computer graphics), Surface roughness, Rough surfaces, Volume Rendering BibRef

Xiao, W.H.[Wen-Hui], Cruz, R.S.[Rodrigo Santa], Ahmedt-Aristizabal, D.[David], Salvado, O.[Olivier], Fookes, C.[Clinton], Lebrat, L.[Leo],
NeRF Director: Revisiting View Selection in Neural Volume Rendering,
CVPR24(20742-20751)
IEEE DOI 2410
Training, Uncertainty, Neural radiance field, Rendering (computer graphics), View selection BibRef

Xu, Q.S.[Qing-Shan], Yi, X.Y.[Xuan-Yu], Xu, J.Y.[Jian-Yao], Tao, W.B.[Wen-Bing], Ong, Y.S.[Yew-Soon], Zhang, H.W.[Han-Wang],
Few-shot NeRF by Adaptive Rendering Loss Regularization,
ECCV24(LXVI: 125-142).
Springer DOI 2412
BibRef

Fei, F.[Fan], Tang, J.J.[Jia-Jun], Tan, P.[Ping], Shi, B.X.[Bo-Xin],
VMINer: Versatile Multi-view Inverse Rendering with Near-and Far-field Light Sources,
CVPR24(11800-11809)
IEEE DOI 2410
Geometry, Training, Surface reconstruction, Lighting, Rendering (computer graphics), Neural radiance field BibRef

Gao, Z.[Zihan], Jiao, L.C.[Li-Cheng], Li, L.L.[Ling-Ling], Liu, X.[Xu], Liu, F.[Fang], Chen, P.[Puhua], Guo, Y.W.[Yu-Wei],
Multiplane Prior Guided Few-Shot Aerial Scene Rendering,
CVPR24(5009-5019)
IEEE DOI 2410
Training, Face recognition, Neural radiance field, Rendering (computer graphics), Transformers, Autonomous aerial vehicles BibRef

Wang, H.Y.[Hao-Yuan], Hu, W.B.[Wen-Bo], Zhu, L.[Lei], Lau, R.W.H.[Rynson W.H.],
Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields,
CVPR24(19999-20008)
IEEE DOI Code:
WWW Link. 2410
Geometry, Accuracy, Lighting, Ray tracing, Rendering (computer graphics), Neural radiance field, NeRF BibRef

Ma, J.H.[Jia-Hao], Liu, M.M.[Miao-Miao], Ahmedt-Aristizabal, D.[David], Nguyen, C.[Chuong],
HashPoint: Accelerated Point Searching and Sampling for Neural Rendering,
CVPR24(4462-4472)
IEEE DOI Code:
WWW Link. 2410
Point cloud compression, Accuracy, Graphics processing units, Ray tracing, Rendering (computer graphics), Search problems, neural rendering BibRef

Tanay, T.[Thomas], Maggioni, M.[Matteo],
Global Latent Neural Rendering,
CVPR24(19723-19733)
IEEE DOI 2410
Training, Computational modeling, Rendering (computer graphics), Cameras BibRef

Wu, L.W.[Li-Wen], Bi, S.[Sai], Xu, Z.X.[Ze-Xiang], Luan, F.[Fujun], Zhang, K.[Kai], Georgiev, I.[Iliyan], Sunkavalli, K.[Kalyan], Ramamoorthi, R.[Ravi],
Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling,
CVPR24(21157-21166)
IEEE DOI Code:
WWW Link. 2410
Adaptation models, Computational modeling, Source coding, Neural radiance field, Rendering (computer graphics), Encoding, Neural Rendering BibRef

Li, C.J.[Chao-Jian], Wu, B.C.[Bi-Chen], Vajda, P.[Peter], Lin, Y.Y.[Ying-Yan],
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering,
3DV24(1115-1124)
IEEE DOI 2408
Geometry, Graphics, Runtime, Portable computers, Memory management, Rendering (computer graphics), Neural Radiance Fields, Real-Time Rendering BibRef

Choi, J.[Jiho], Hwang, G.[Gyutae], Lee, S.J.[Sang Jun],
DiCo-NeRF: Difference of Cosine Similarity for Neural Rendering of Fisheye Driving Scenes,
NRend24(7850-7858)
IEEE DOI Code:
WWW Link. 2410
Image color analysis, Computational modeling, Semantics, Neural radiance field, Rendering (computer graphics), Vectors, Vision-Language models BibRef

Turki, H.[Haithem], Agrawal, V.[Vasu], Buló, S.R.[Samuel Rota], Porzi, L.[Lorenzo], Kontschieder, P.[Peter], Ramanan, D.[Deva], Zollhöfer, M.[Michael], Richardt, C.[Christian],
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces,
CVPR24(19647-19656)
IEEE DOI Code:
WWW Link. 2410
Solid modeling, Adaptation models, Error analysis, Poles and towers, Rendering (computer graphics), neural radiance fields BibRef

Levy, A.[Axel], Matthews, M.[Mark], Sela, M.[Matan], Wetzstein, G.[Gordon], Lagun, D.[Dmitry],
MELON: NeRF with Unposed Images in SO(3),
3DV24(354-364)
IEEE DOI Code:
WWW Link. 2408
Pose estimation, Cameras, Rendering (computer graphics), Image reconstruction, neural rendering, inverse rendering BibRef

Deng, Y.M.[You-Ming], Li, X.T.[Xue-Ting], Liu, S.[Sifei], Yang, M.H.[Ming-Hsuan],
Physics-based Indirect Illumination for Inverse Rendering,
3DV24(1249-1258)
IEEE DOI Code:
WWW Link. 2408
Geometry, Solid modeling, Computational modeling, Source coding, Lighting, Predictive models, NeRF, Physics-based illumination BibRef

Chang, J.H.R.[Jen-Hao Rick], Chen, W.Y.[Wei-Yu], Ranjan, A.[Anurag], Yi, K.M.[Kwang Moo], Tuzel, O.[Oncel],
Pointersect: Neural Rendering with Cloud-Ray Intersection,
CVPR23(8359-8369)
IEEE DOI 2309
BibRef

Yang, J.W.[Jia-Wei], Pavone, M.[Marco], Wang, Y.[Yue],
FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization,
CVPR23(8254-8263)
IEEE DOI 2309
BibRef

Hu, D.T.[Dong-Ting], Zhang, Z.K.[Zhen-Kai], Hou, T.B.[Ting-Bo], Liu, T.L.[Tong-Liang], Fu, H.[Huan], Gong, M.M.[Ming-Ming],
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering,
ICCV23(17726-17737)
IEEE DOI 2401
BibRef

Rojas, S.[Sara], Zarzar, J.[Jesus], Pérez, J.C.[Juan C.], Sanakoyeu, A.[Artsiom], Thabet, A.[Ali], Pumarola, A.[Albert], Ghanem, B.[Bernard],
Re-ReND: Real-time Rendering of NeRFs across Devices,
ICCV23(3609-3618)
IEEE DOI 2401
BibRef

Liang, R.F.[Ruo-Fan], Chen, H.T.[Hui-Ting], Li, C.L.[Chun-Lin], Chen, F.[Fan], Panneer, S.[Selvakumar], Vijaykumar, N.[Nandita],
ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting,
ICCV23(79-89)
IEEE DOI 2401
BibRef

Jin, H.[Haian], Liu, I.[Isabella], Xu, P.[Peijia], Zhang, X.S.[Xiao-Shuai], Han, S.F.[Song-Fang], Bi, S.[Sai], Zhou, X.W.[Xiao-Wei], Xu, Z.X.[Ze-Xiang], Su, H.[Hao],
TensoIR: Tensorial Inverse Rendering,
CVPR23(165-174)
IEEE DOI 2309
BibRef

Müller, N.[Norman], Siddiqui, Y.[Yawar], Porzi, L.[Lorenzo], Bulò, S.R.[Samuel Rota], Kontschieder, P.[Peter], Nießner, M.[Matthias],
DiffRF: Rendering-Guided 3D Radiance Field Diffusion,
CVPR23(4328-4338)
IEEE DOI 2309
BibRef

Kwon, O.[Obin], Park, J.[Jeongho], Oh, S.H.[Song-Hwai],
Renderable Neural Radiance Map for Visual Navigation,
CVPR23(9099-9108)
IEEE DOI 2309
BibRef

Li, Z.[Zhen], Wang, L.L.[Ling-Li], Cheng, M.[Mofang], Pan, C.[Cihui], Yang, J.Q.[Jia-Qi],
Multi-view Inverse Rendering for Large-scale Real-world Indoor Scenes,
CVPR23(12499-12509)
IEEE DOI 2309
BibRef

Li, S.C.[Si-Cheng], Li, H.[Hao], Wang, Y.[Yue], Liao, Y.[Yiyi], Yu, L.[Lu],
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory,
CVPR23(20701-20711)
IEEE DOI 2309
BibRef

Chen, Z.Q.[Zhi-Qin], Funkhouser, T.[Thomas], Hedman, P.[Peter], Tagliasacchi, A.[Andrea],
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures,
CVPR23(16569-16578)
IEEE DOI 2309
BibRef

Tang, Z.J.[Zhe Jun], Cham, T.J.[Tat-Jen], Zhao, H.[Haiyu],
ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field,
CVPR23(16559-16568)
IEEE DOI 2309
BibRef

Yan, H.[Han], Liu, C.[Celong], Ma, C.[Chao], Mei, X.[Xing],
Plen-VDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering,
CVPR23(88-96)
IEEE DOI 2309
BibRef

Dai, P.[Peng], Zhang, Y.[Yinda], Yu, X.[Xin], Lyu, X.Y.[Xiao-Yang], Qi, X.J.[Xiao-Juan],
Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur,
CVPR23(154-164)
IEEE DOI 2309
BibRef

Wang, H.Y.[Hao-Yuan], Xu, X.G.[Xiao-Gang], Xu, K.[Ke], Lau, R.W.H.[Rynson W.H.],
Lighting up NeRF via Unsupervised Decomposition and Enhancement,
ICCV23(12598-12607)
IEEE DOI 2401
BibRef

Kaneko, T.[Takuhiro],
MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields,
ICCV23(3250-3260)
IEEE DOI 2401
BibRef
Earlier:
AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields,
CVPR22(18366-18376)
IEEE DOI 2210
BibRef
Earlier:
Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks,
CVPR21(15674-15683)
IEEE DOI 2111
Training, Representation learning, Face recognition, Apertures, Ray tracing, Data collection, 3D from single images. Shape, Computational modeling, Rendering (computer graphics) BibRef

Zhang, Y.Q.[Yong-Qiang], Hu, Z.P.[Zhi-Peng], Wu, H.Q.[Hao-Qian], Zhao, M.[Minda], Li, L.[Lincheng], Zou, Z.X.[Zheng-Xia], Fan, C.J.[Chang-Jie],
Towards Unbiased Volume Rendering of Neural Implicit Surfaces with Geometry Priors,
CVPR23(4359-4368)
IEEE DOI 2309
BibRef

Wu, L.W.[Li-Wen], Lee, J.Y.[Jae Yong], Bhattad, A.[Anand], Wang, Y.X.[Yu-Xiong], Forsyth, D.A.[David A.],
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering,
CVPR22(16179-16188)
IEEE DOI 2210
Solid modeling, Codes, Computational modeling, Semantics, Stochastic processes, Vision + graphics, Physics-based vision and shape-from-X BibRef

Xiangli, Y.B.[Yuan-Bo], Xu, L.N.[Lin-Ning], Pan, X.G.[Xin-Gang], Zhao, N.X.[Nan-Xuan], Rao, A.[Anyi], Theobalt, C.[Christian], Dai, B.[Bo], Lin, D.[Dahua],
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering,
ECCV22(XXXII:106-122).
Springer DOI 2211
BibRef

Chen, M.F.[Ming-Fei], Zhang, J.F.[Jian-Feng], Xu, X.Y.[Xiang-Yu], Liu, L.J.[Li-Juan], Cai, Y.J.[Yu-Jun], Feng, J.S.[Jia-Shi], Yan, S.C.[Shui-Cheng],
Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering,
ECCV22(XXIII:222-239).
Springer DOI 2211
BibRef

Suhail, M.[Mohammed], Esteves, C.[Carlos], Sigal, L.[Leonid], Makadia, A.[Ameesh],
Generalizable Patch-Based Neural Rendering,
ECCV22(XXXII:156-174).
Springer DOI 2211
BibRef

Zakharov, S.[Sergey], Ambrus, R.[Rares], Guizilini, V.[Vitor], Kehl, W.[Wadim], Gaidon, A.[Adrien],
Photo-realistic Neural Domain Randomization,
ECCV22(XXV:310-327).
Springer DOI 2211
Apply to recognition. BibRef

Piala, M.[Martin], Clark, R.[Ronald],
TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering,
3DV21(1106-1114)
IEEE DOI 2201
Training, Geometry, Image color analysis, Pipelines, Lighting, Estimation BibRef

Peng, J.[Juewen], Cao, Z.G.[Zhi-Guo], Luo, X.R.[Xian-Rui], Lu, H.[Hao], Xian, K.[Ke], Zhang, J.M.[Jian-Ming],
BokehMe: When Neural Rendering Meets Classical Rendering,
CVPR22(16262-16271)
IEEE DOI 2210
Photography, Shape, Apertures, Rendering (computer graphics), Computational photography, Low-level vision BibRef

Kurz, A.[Andreas], Neff, T.[Thomas], Lv, Z.Y.[Zhao-Yang], Zollhöfer, M.[Michael], Steinberger, M.[Markus],
AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields,
ECCV22(XVII:254-270).
Springer DOI 2211
BibRef

Athar, S.R.[Shah-Rukh], Xu, Z.X.[Ze-Xiang], Sunkavalli, K.[Kalyan], Shechtman, E.[Eli], Shu, Z.X.[Zhi-Xin],
RigNeRF: Fully Controllable Neural 3D Portraits,
CVPR22(20332-20341)
IEEE DOI 2210
Deformable models, Training, Solid modeling, Image analysis, Face recognition, Rendering (computer graphics), Scene analysis and understanding BibRef

Kim, M.[Mijeong], Seo, S.[Seonguk], Han, B.H.[Bo-Hyung],
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering,
CVPR22(12902-12911)
IEEE DOI 2210
Training, Benchmark testing, Rendering (computer graphics), Minimization, Entropy, Sensors, 3D from multi-view and sensors, Vision + graphics BibRef

Lindell, D.B.[David B.], Martel, J.N.P.[Julien N. P.], Wetzstein, G.[Gordon],
AutoInt: Automatic Integration for Fast Neural Volume Rendering,
CVPR21(14551-14560)
IEEE DOI 2111
Training, Image quality, Monte Carlo methods, Scientific computing, Neural networks, Memory management BibRef

Kellnhofer, P.[Petr], Jebe, L.C.[Lars C.], Jones, A.[Andrew], Spicer, R.[Ryan], Pulli, K.[Kari], Wetzstein, G.[Gordon],
Neural Lumigraph Rendering,
CVPR21(4285-4295)
IEEE DOI 2111
Graphics, Image quality, Image resolution, Face recognition, Pipelines, Rendering (computer graphics) BibRef

Kolos, M., Sevastopolsky, A., Lempitsky, V.,
TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer,
3DV20(1167-1175)
IEEE DOI 2102
Rendering (computer graphics), Graphics, Cameras, Pipelines, Image resolution, photogrammetry BibRef

Meshry, M.[Moustafa], Goldman, D.B.[Dan B.], Khamis, S.[Sameh], Hoppe, H.[Hugues], Pandey, R.[Rohit], Snavely, N.[Noah], Martin-Brualla, R.[Ricardo],
Neural Rerendering in the Wild,
CVPR19(6871-6880).
IEEE DOI 2002
BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
View Synthesis using Neural Radiance Fields, Scene Reconstruction, NeRF .


Last update:Nov 26, 2025 at 20:24:09