11.2.1.3.5 Neural Rendering

Chapter Contents (Back)
Rendering. Neural Rendering. NeRF.
See also View Synthesis using Neural Radiance Fields, 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


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

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, Computer architecture, 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

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

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

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

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

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

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

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


Last update:Mar 12, 2025 at 14:27:03