Wei, P.C.[Peng-Cheng],
Yan, L.[Li],
Xie, H.[Hong],
Qiu, D.[Dashi],
Qiu, C.C.[Chang-Cheng],
Wu, H.[Hao],
Zhao, Y.H.[Ying-Hao],
Hu, X.[Xiao],
Huang, M.[Ming],
LiDeNeRF: Neural radiance field reconstruction with depth prior
provided by LiDAR point cloud,
PandRS(208), 2024, pp. 296-307.
Elsevier DOI Code:
WWW Link.
2402
NeRF, Neural radiance field, Point cloud, 3D reconstruction, Depth prior
BibRef
Zimny, D.[Dominik],
Waczynska, J.[Joanna],
Trzcinski, T.[Tomasz],
Spurek, P.[Przemyslaw],
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud,
PRL(185), 2024, pp. 8-14.
Elsevier DOI
2410
NeRF, 3D point clouds, Hypernetwork
BibRef
Guo, S.[Shuai],
Wang, Q.W.[Qiu-Wen],
Gao, Y.J.[Yi-Jie],
Xie, R.[Rong],
Li, L.[Lin],
Zhu, F.[Fang],
Song, L.[Li],
Depth-Guided Robust Point Cloud Fusion NeRF for Sparse Input Views,
CirSysVideo(34), No. 9, September 2024, pp. 8093-8106.
IEEE DOI
2410
Point cloud compression, Optimization, Rendering (computer graphics),
Vectors, Uncertainty, Geometry, NeRF, robust
BibRef
Ramirez, P.Z.[Pierluigi Zama],
de Luigi, L.[Luca],
Sirocchi, D.[Daniele],
Cardace, A.[Adriano],
Spezialetti, R.[Riccardo],
Ballerini, F.[Francesco],
Salti, S.[Samuele],
Stefano, L.D.[Luigi Di],
Deep Learning on Object-Centric 3D Neural Fields,
PAMI(46), No. 12, December 2024, pp. 9940-9956.
IEEE DOI
2411
Noise measurement, Task analysis, Neural radiance field, Shape,
Pipelines, Biological neural networks, Neural fields, INR, NeRF classification
BibRef
Chen, Y.S.[Ying-Shu],
Shao, G.C.[Guo-Cheng],
Shum, K.C.[Ka Chun],
Hua, B.S.[Binh-Son],
Yeung, S.K.[Sai-Kit],
Advances in 3D Neural Stylization: A Survey,
IJCV(133), No. 8, August 2025, pp. 5026-5061.
Springer DOI
2508
BibRef
Li, Y.D.[Yuan-Dong],
Hu, Q.L.[Qing-Lei],
Dong, F.[Fei],
Li, D.[Dongyu],
Ouyang, Z.C.[Zhen-Chao],
Uncertainty Neural Surfaces for Space Target 3D Reconstruction Under
Constrained Views,
CirSysVideo(35), No. 8, August 2025, pp. 8045-8056.
IEEE DOI Code:
WWW Link.
2508
Uncertainty, Neural radiance field, Image reconstruction,
Surface reconstruction, Geometry, Training, Estimation, space robots
BibRef
Neupane, R.B.[Rama Bastola],
Li, K.[Kan],
Mao, Z.[Zhuqing],
High-fidelity 3D reconstruction via unified NeRF-mesh optimization
with geometric and color consistency,
PR(170), 2026, pp. 112071.
Elsevier DOI
2509
3D reconstruction, Mesh, NeRF, Cross-photometric loss
BibRef
Fu, X.[Xiao],
Zhang, S.Z.[Shang-Zhan],
Chen, T.R.[Tian-Run],
Lu, Y.C.[Yi-Chong],
Zhou, X.W.[Xiao-Wei],
Geiger, A.[Andreas],
Liao, Y.[Yiyi],
PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes,
PAMI(47), No. 10, October 2025, pp. 8804-8822.
IEEE DOI
2510
Semantics, Geometry, Optimization, Noise measurement, Annotations,
Rendering (computer graphics), Neural radiance field, Labeling,
urban scene understanding
BibRef
Li, S.C.[Si-Cheng],
Li, H.[Hao],
Liao, Y.[Yiyi],
Yu, L.[Lu],
NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields
for Memory-Efficient Scene Representation,
CVPR24(21274-21283)
IEEE DOI
2410
Training, Codecs, Image coding, Quantization (signal), Head, Rate-distortion
BibRef
Zhang, C.[Chubin],
Yan, J.C.[Jun-Cheng],
Wei, Y.[Yi],
Li, J.X.[Jia-Xin],
Liu, L.[Li],
Tang, Y.S.[Yan-Song],
Duan, Y.[Yueqi],
Lu, J.W.[Ji-Wen],
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments,
IP(34), 2025, pp. 3096-3107.
IEEE DOI Code:
WWW Link.
2506
Semantics, Feature extraction, Training, Laser radar,
Depth measurement, Cameras, Neural radiance field,
self-supervised depth estimation
BibRef
Irshad, M.Z.[Muhammad Zubair],
Zakharov, S.[Sergey],
Guizilini, V.[Vitor],
Gaidon, A.[Adrien],
Kira, Z.[Zsolt],
Ambrus, R.[Rares],
NeRF-MAE: Masked Autoencoders for Self-supervised 3d Representation
Learning for Neural Radiance Fields,
ECCV24(LXXXVIII: 434-453).
Springer DOI
2412
BibRef
Chi, Y.[Yu],
Zhan, F.N.[Fang-Neng],
Wu, S.[Sibo],
Theobalt, C.[Christian],
Kortylewski, A.[Adam],
DatasetNeRF: Efficient 3d-aware Data Factory with Generative Radiance
Fields,
ECCV24(LXII: 354-372).
Springer DOI
2412
BibRef
Rau, A.[Anita],
Aklilu, J.[Josiah],
Holsinger, F.C.[F. Christopher],
Yeung-Levy, S.[Serena],
Depth-guided NeRF Training via Earth Mover's Distance,
ECCV24(LXIV: 1-17).
Springer DOI
2412
BibRef
Wang, Y.S.[Yun-Song],
Chen, H.L.[Han-Lin],
Lee, G.H.[Gim Hee],
GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields,
CVPR24(20443-20453)
IEEE DOI
2410
Costs, Attention mechanisms, Image color analysis,
Semantic segmentation, Aggregates, 3D Scene Understanding,
Neural Radiance Fields
BibRef
Weber, E.[Ethan],
Holynski, A.[Aleksander],
Jampani, V.[Varun],
Saxena, S.[Saurabh],
Snavely, N.[Noah],
Kar, A.[Abhishek],
Kanazawa, A.[Angjoo],
NeRFiller: Completing Scenes via Generative 3D Inpainting,
CVPR24(20731-20741)
IEEE DOI Code:
WWW Link.
2410
Solid modeling, Visualization, Noise, Neural radiance field,
Diffusion models
BibRef
Li, J.[Jiahe],
Zhang, J.W.[Jia-Wei],
Bai, X.[Xiao],
Zheng, J.[Jin],
Ning, X.[Xin],
Zhou, J.[Jun],
Gu, L.[Lin],
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with
Global-Local Depth Normalization,
CVPR24(20775-20785)
IEEE DOI Code:
WWW Link.
2410
Geometry, Training, Degradation, Costs, Color
BibRef
Sun, B.[Bo],
Groueix, T.[Thibault],
Song, C.[Chen],
Huang, Q.X.[Qi-Xing],
Aigerman, N.[Noam],
TutteNet: Injective 3D Deformations by Composition of 2D Mesh
Deformations,
CVPR24(21378-21389)
IEEE DOI
2410
Deformation, Shape, Rendering (computer graphics),
Neural radiance field, Real-time systems, 3D Deformation, NeRF,
Bijective Mapping
BibRef
Zhong, Y.J.[Ying-Ji],
Hong, L.Q.[Lan-Qing],
Li, Z.G.[Zhen-Guo],
Xu, D.[Dan],
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance
Fields from Sparse Inputs,
CVPR24(21466-21475)
IEEE DOI Code:
WWW Link.
2410
Training, Degradation, Solid modeling, Image color analysis,
Semantics, Neural radiance field
BibRef
Kim, C.M.[Chung Min],
Wu, M.X.[Ming-Xuan],
Kerr, J.[Justin],
Goldberg, K.[Ken],
Tancik, M.[Matthew],
Kanazawa, A.[Angjoo],
GARField: Group Anything with Radiance Fields,
CVPR24(21530-21539)
IEEE DOI Code:
WWW Link.
2410
Image segmentation, Fuses, Wheels, Excavation,
Scene understanding, 3D from multi-view
BibRef
Duan, H.B.[Hao-Bin],
Wang, M.[Miao],
Li, Y.X.[Yan-Xun],
Yang, Y.L.[Yong-Liang],
Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D
Strokes,
CVPR24(5240-5249)
IEEE DOI Code:
WWW Link.
2410
Training, Solid modeling, Stroke (medical condition),
Neural radiance field, Vectors
BibRef
Tang, Z.G.[Zheng-Gang],
Ren, Z.Z.[Zhong-Zheng],
Zhao, X.M.[Xiao-Ming],
Wen, B.[Bowen],
Tremblay, J.[Jonathan],
Birchfield, S.[Stan],
Schwing, A.[Alexander],
NeRFDeformer: NeRF Transformation from a Single View via 3D Scene
Flows,
CVPR24(10293-10303)
IEEE DOI Code:
WWW Link.
2410
Matched filters, Shape, Grounding, Transforms, Filtering algorithms,
Neural radiance field, NeRF transformation, single view,
3D correspondence matching
BibRef
Huang, Y.[Yao],
Dong, Y.P.[Yin-Peng],
Ruan, S.[Shouwei],
Yang, X.[Xiao],
Su, H.[Hang],
Wei, X.X.[Xing-Xing],
Towards Transferable Targeted 3D Adversarial Attack in the Physical
World,
CVPR24(24512-24522)
IEEE DOI
2410
Visualization, Closed box, Optimization methods,
Three-dimensional printing, Neural radiance field, Filling
BibRef
Sun, S.[Shanlin],
Zhuang, B.B.[Bing-Bing],
Jiang, Z.Y.[Zi-Yu],
Liu, B.[Buyu],
Xie, X.H.[Xiao-Hui],
Chandraker, M.[Manmohan],
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes,
CVPR24(19563-19572)
IEEE DOI
2410
Training, Point cloud compression, Laser radar, Scalability, Roads,
Neural radiance field, NeRF, Simulation, Lidar, Autonomous Driving
BibRef
Chou, Z.T.[Zi-Ting],
Huang, S.Y.[Sheng-Yu],
Liu, I.J.[I-Jieh],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced
3D Scene Understanding,
CVPR24(20806-20815)
IEEE DOI
2410
Geometry, Visualization, Semantic segmentation, Semantics,
Neural radiance field, Rendering (computer graphics), 3D NeRF,
generalizable nerf
BibRef
Chen, H.H.[Hong-Hua],
Loy, C.C.[Chen Change],
Pan, X.G.[Xin-Gang],
MVIP-NeRF: Multi-View 3D Inpainting on NeRF Scenes via Diffusion
Prior,
CVPR24(5344-5353)
IEEE DOI
2410
Geometry, Visualization, Solid modeling, Neural radiance field,
Diffusion models
BibRef
Ehret, T.[Thibaud],
Marí, R.[Roger],
Facciolo, G.[Gabriele],
A generic and flexible regularization framework for NeRFs,
WACV24(3076-3085)
IEEE DOI
2404
Geometry, Training, Deep learning, Buildings, Estimation, Algorithms,
3D computer vision
BibRef
Abou-Chakra, J.[Jad],
Dayoub, F.[Feras],
Sünderhauf, N.[Niko],
ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance
Fields,
WACV24(5963-5972)
IEEE DOI Code:
WWW Link.
2404
Geometry, Visualization, Encoding, Vectors, Real-time systems, Physics,
Applications, Robotics, Algorithms, 3D computer vision
BibRef
Li, H.[Hao],
Zhang, D.W.[Ding-Wen],
Dai, Y.[Yalun],
Liu, N.[Nian],
Cheng, L.[Lechao],
Li, J.F.[Jing-Feng],
Wang, J.D.[Jing-Dong],
Han, J.W.[Jun-Wei],
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene
Understanding,
CVPR24(21708-21718)
IEEE DOI
2410
Instance segmentation, Visualization, Solid modeling,
Semantic segmentation, Semantics, Neural radiance field, Distillation
BibRef
Chang, M.F.[Ming-Fang],
Sharma, A.[Akash],
Kaess, M.[Michael],
Lucey, S.[Simon],
Neural Radiance Fields with LiDAR Maps,
ICCV23(17868-17877)
IEEE DOI
2401
BibRef
Hu, T.[Tao],
Liu, S.[Shu],
Chen, Y.L.[Yi-Lun],
Shen, T.C.[Tian-Cheng],
Jia, J.Y.[Jia-Ya],
EfficientNeRF: Efficient Neural Radiance Fields,
CVPR22(12892-12901)
IEEE DOI
2210
Training, Codes, Life estimation, Rendering (computer graphics),
Data structures, 3D from multi-view and sensors, Vision + graphics
BibRef
Huang, Y.H.[Yi-Hua],
He, Y.[Yue],
Yuan, Y.J.[Yu-Jie],
Lai, Y.K.[Yu-Kun],
Gao, L.[Lin],
StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via
2D-3D Mutual Learning,
CVPR22(18321-18331)
IEEE DOI
2210
Training, Knowledge engineering, Visualization, Codes,
Image color analysis, Fuses, Vision + graphics
BibRef
Xie, C.[Christopher],
Park, K.[Keunhong],
Martin-Brualla, R.[Ricardo],
Brown, M.[Matthew],
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category
Modelling,
3DV21(962-971)
IEEE DOI
2201
Measurement, Deformable models, Solid modeling, Image segmentation
BibRef
Shen, J.X.[Jian-Xiong],
Ruiz, A.[Adria],
Agudo, A.[Antonio],
Moreno-Noguer, F.[Francesc],
Stochastic Neural Radiance Fields: Quantifying Uncertainty in
Implicit 3D Representations,
3DV21(972-981)
IEEE DOI
2201
Uncertainty, Computational modeling, Estimation,
Stochastic processes, Rendering (computer graphics), Probability distribution
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Neural Rendering .