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The long-standing problem of novel view synthesis has many applications, notably in sports broadcasting.
Ray tracing volume densities
James T Kajiya and Brian P Von Herzen. 1984 · 1984
Earlier work this paper cites.
Light diffusion through clouds and haze
Nelson L Max. 1986 · 1986
Earlier work this paper cites.
View interpolation for image synthesis. In Proceedings of the 20th annual conference on Computer graphics and interactive techniques . 279–288
Shenchang Eric Chen and Lance Williams. 1993 · 1993
Earlier work this paper cites.
Light field rendering. In Proceedings of the 23rd annual conference on Computer graphics and interactive techniques . 31–42
Marc Levoy and Pat Hanrahan. 1996 · 1996
Earlier work this paper cites.
Photorealistic scene reconstruction by voxel coloring
Steven M Seitz and Charles R Dyer. 1999 · 1999
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli. 2004 · 2004
Earlier work this paper cites.
Stadium Blender Model
MrChimp2313. 2012 · 2012
Earlier work this paper cites.
Multi-view body part recognition with random forests. In 2013 24th British Machine Vision Conference, BMVC 2013; Bristol; United Kingdom; 9 September 2013 through 13 September 2013 . British Machine Vision Association
Vahid Kazemi, Magnus Burenius, Hossein Azizpour, and Josephine Sullivan. 2013 · 2013
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black. 2015 · 2015
Earlier work this paper cites.
Focal loss for dense object detection. In Proceedings of the IEEE international conference on computer vision . 2980–2988
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár. 2017 · 2017
Earlier work this paper cites.
Blender - a 3D Modelling and Rendering Package
Blender Online Community. 2018 · 2018
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric. In Proceedings of the IEEE conference on computer vision and pattern recognition . 586–595
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. 2018 · 2018
Earlier work this paper cites.
Immersive light field video with a layered mesh representation
Michael Broxton, John Flynn, Ryan Overbeck, Daniel Erickson, Peter Hedman, Matthew Duvall, Jason Dourgarian, Jay Busch, Matt Whalen, and Paul Debevec. 2020 · 2020
Cited alongside, same era.
Neural radiance flow for 4d view synthesis and video processing. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV) . IEEE Computer Society, 14304–14314
Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B Tenenbaum, and Jiajun Wu. 2021 · 2021
Cited alongside, same era.
Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng. 2021 · 2021
Cited alongside, same era.
Nerfies: Deformable neural radiance fields. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 5865–5874
Keunhong Park, Utkarsh Sinha, Jonathan T Barron, Sofien Bouaziz, Dan B Goldman, Steven M Seitz, and Ricardo Martin-Brualla. 2021 · 2021
Cited alongside, same era.
D-nerf: Neural radiance fields for dynamic scenes. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 10318–10327
SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 2717–2725
Krishna Wadhwani and Tamaki Kojima. 2022 · 2022
Later among the works it cites.
Mixed neural voxels for fast multi-view video synthesis
Feng Wang, Sinan Tan, Xinghang Li, Zeyue Tian, and Huaping Liu. 2022 · 2022
Later among the works it cites.
Humannerf: Free-viewpoint rendering of moving people from monocular video. In Proceedings of the IEEE/CVF conference on computer vision and pattern Recognition . 16210–16220
Chung-Yi Weng, Brian Curless, Pratul P Srinivasan, Jonathan T Barron, and Ira Kemelmacher-Shlizerman. 2022 · 2022
Later among the works it cites.
Humannerf: Efficiently generated human radiance field from sparse inputs. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 7743–7753
Fuqiang Zhao, Wei Yang, Jiakai Zhang, Pei Lin, Yingliang Zhang, Jingyi Yu, and Lan Xu. 2022 · 2022
Later among the works it cites.
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Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer. 2021 · 2021
Cited alongside, same era.
Mip-nerf 360: Unbounded anti-aliased neural radiance fields. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5470–5479
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman. 2022 · 2022
Cited alongside, same era.
Efficient geometry-aware 3D generative adversarial networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 16123–16133
Eric R Chan, Connor Z Lin, Matthew A Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J Guibas, Jonathan Tremblay, Sameh Khamis, et al · 2022
Cited alongside, same era.
Tensorf: Tensorial radiance fields. In European Conference on Computer Vision . Springer, 333–350
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su. 2022 · 2022
Cited alongside, same era.
Depth-supervised nerf: Fewer views and faster training for free. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 12882–12891
Kangle Deng, Andrew Liu, Jun-Yan Zhu, and Deva Ramanan. 2022 · 2022
Cited alongside, same era.
Fast dynamic radiance fields with time-aware neural voxels. In SIGGRAPH Asia 2022 Conference Papers . 1–9
Jiemin Fang, Taoran Yi, Xinggang Wang, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Matthias Nießner, and Qi Tian. 2022 · 2022
Cited alongside, same era.
Neural 3d video synthesis from multi-view video. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5521–5531
Tianye Li, Mira Slavcheva, Michael Zollhoefer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard Newcombe, et al · 2022
Cited alongside, same era.
Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller. 2022 · 2022
Cited alongside, same era.
HyperReel: High-fidelity 6-DoF video with ray-conditioned sampling. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 16610–16620
Benjamin Attal, Jia-Bin Huang, Christian Richardt, Michael Zollhoefer, Johannes Kopf, Matthew O’Toole, and Changil Kim. 2023 · 2023
Closest in time.
Zip-NeRF: Anti-aliased grid-based neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman. 2023 · 2023
Closest in time.
K-planes: Explicit radiance fields in space, time, and appearance. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 12479–12488
Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, and Angjoo Kanazawa. 2023 · 2023
Closest in time.
HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video
Jia-Wei Liu, Yan-Pei Cao, Tianyuan Yang, Eric Zhongcong Xu, Jussi Keppo, Ying Shan, Xiaohu Qie, and Mike Zheng Shou. 2023 · 2023
Closest in time.
Tensor4d: Efficient neural 4d decomposition for high-fidelity dynamic reconstruction and rendering. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 16632–16642
Ruizhi Shao, Zerong Zheng, Hanzhang Tu, Boning Liu, Hongwen Zhang, and Yebin Liu. 2023 · 2023
Closest in time.
Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields
Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, and Andreas Geiger. 2023 · 2023
Closest in time.
Nerfstudio: A Modular Framework for Neural Radiance Field Development. In ACM SIGGRAPH 2023 Conference Proceedings (SIGGRAPH ’23)
Matthew Tancik, Ethan Weber, Evonne Ng, Ruilong Li, Brent Yi, Justin Kerr, Terrance Wang, Alexander Kristoffersen, Jake Austin, Kamyar Salahi, Abhik Ahuja, David McAllister, and Angjoo Kanazawa. 2023 · 2023
Closest in time.
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs
Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, and Angjoo Kanazawa. 2023 · 2023
Closest in time.
NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 12363–12374
Kun Zhou, Wenbo Li, Yi Wang, Tao Hu, Nianjuan Jiang, Xiaoguang Han, and Jiangbo Lu. 2023 · 2023
Closest in time.