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We propose a differentiable rendering algorithm for efficient novel view synthesis.
Bidirectional Reflection Functions from Surface Bump Maps
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Stereo Magnification: Learning View Synthesis using Multiplane Images
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DPSNet: End-to-end Deep Plane Sweep Stereo. In Proc. ICLR
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Neural Volumes: Learning Dynamic Renderable Volumes from Images
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Vaxnerf: Revisiting the classic for voxel-accelerated neural radiance field
Naruya Kondo, Yuya Ikeda, Andrea Tagliasacchi, Yutaka Matsuo, Yoichi Ochiai, and Shixiang Shane Gu. 2021 · 2021
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Point-Based Neural Rendering with Per-View Optimization. In Computer Graphics Forum , Vol. 40. Wiley Online Library, 29–43
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Neural Rays for Occlusion-aware Image-based Rendering
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Moustafa Meshry, Dan B Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, and Ricardo Martin-Brualla. 2019 · 2019
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Differentiable Surface Splatting for Point-based Geometry Processing
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Neural point-based graphics. In European Conference on Computer Vision . Springer, 696–712
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DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images. In Proc. ICML
Zhizhong Han, Chao Chen, Yu-Shen Liu, and Matthias Zwicker. 2020 · 2020
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In Proc. ECCV . Springer, 405–421
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Synsin: End-to-end view synthesis from a single image. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 7467–7477
Olivia Wiles, Georgia Gkioxari, Richard Szeliski, and Justin Johnson. 2020 · 2020
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Invertible Neural BRDF for Object Inverse Rendering
Zhe Chen, Shohei Nobuhara, and Ko Nishino. 2021a · 2021
Cited alongside, same era.
Stephen Lombardi, Tomas Simon, Gabriel Schwartz, Michael Zollhoefer, Yaser Sheikh, and Jason Saragih. 2021 · 2021
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DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks. In Computer Graphics Forum , Vol. 40. Wiley Online Library, 45–59
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KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger. 2021 · 2021
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ADOP: Approximate Differentiable One-Pixel Point Rendering
Darius Rückert, Linus Franke, and Marc Stamminger. 2021 · 2021
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Neural BRDF Representation and Importance Sampling
Alejandro Sztrajman, Gilles Rainer, Tobias Ritschel, and Tim Weyrich. 2021 · 2021
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Video-Based Rendering of Dynamic Stationary Environments from Unsynchronized Inputs. In Computer Graphics Forum , Vol. 40. Wiley Online Library, 73–86
Théo Thonat, Yagiz Aksoy, Miika Aittala, Sylvain Paris, Frédo Durand, and George Drettakis. 2021 · 2021
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IBRNet: Learning Multi-View Image-Based Rendering. In Proc. CVPR
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas Funkhouser. 2021 · 2021
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NeX: Real-time View Synthesis with Neural Basis Expansion. In Proc. CVPR
Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai, and Supasorn Suwajanakorn. 2021 · 2021
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Editable Free-Viewpoint Video using a Layered Neural Representation
Jiakai Zhang, Xinhang Liu, Xinyi Ye, Fuqiang Zhao, Yanshun Zhang, Minye Wu, Yingliang Zhang, Lan Xu, and Jingyi Yu. 2021 · 2021
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Point-nerf: Point-based neural radiance fields. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5438–5448
Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, and Ulrich Neumann. 2022 · 2022
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