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Neural radiance fields achieve unprecedented quality for novel view synthesis, but their volumetric formulation remains expensive, requiring a huge number of samples to render high-resolution images.
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Neural Sparse Voxel Fields
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020 · 2020
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DeRF: Decomposed Radiance Fields
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NeRF++: Analyzing and Improving Neural Radiance Fields
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Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
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Deep relightable appearance models for animatable faces
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Baking Neural Radiance Fields for Real-Time View Synthesis
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gradsim: Differentiable simulation for system identification and visuomotor control
Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, et al · 2021
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Point-Based Neural Rendering with Per-View Optimization
Georgios Kopanas, Julien Philip, Thomas Leimkühler, and George Drettakis. 2021 · 2021
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Pulsar: Efficient Sphere-based Neural Rendering
Christoph Lassner and Michael Zollhöfer. 2021 · 2021
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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. In
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth. 2021 · 2021
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DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks
Thomas Neff, Pascal Stadlbauer, Mathias Parger, Andreas Kurz, Joerg H. Mueller, Chakravarty R. Alla Chaitanya, Anton S. Kaplanyan, and Markus Steinberger. 2021 · 2021
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RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. In
Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, and Noha Radwan. 2022 · 2022
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Plenoxels: Radiance Fields without Neural Networks. In
Sara Fridovich-Keil and Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa. 2022 · 2022
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Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction. In
Cheng Sun, Min Sun, and Hwann-Tzong Chen. 2022 · 2022
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HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details
Yiqun Wang, Ivan Skorokhodov, and Peter Wonka. 2022b · 2022
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UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction. In
Michael Oechsle, Songyou Peng, and Andreas Geiger. 2021 · 2021
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KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs. In
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger. 2021 · 2021
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Stable View Synthesis. In
Gernot Riegler and Vladlen Koltun. 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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NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang. 2021 · 2021
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Volume rendering of neural implicit surfaces. In
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman. 2021 · 2021
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PlenOctrees for Real-time Rendering of Neural Radiance Fields. In
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa. 2021 · 2021
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Deforming radiance fields with cages. In
Tianhan Xu and Tatsuya Harada. 2022 · 2022
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NeRF-editing: geometry editing of neural radiance fields. In
Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, and Lin Gao. 2022 · 2022
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Human Performance Modeling and Rendering via Neural Animated Mesh
Fuqiang Zhao, Yuheng Jiang, Kaixin Yao, Jiakai Zhang, Liao Wang, Haizhao Dai, Yuhui Zhong, Yingliang Zhang, Minye Wu, Lan Xu, and Jingyi Yu. 2022 · 2022
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Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman. 2022 · 2022
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Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller. 2022 · 2022
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NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction
Yiming Wang, Qin Han, Marc Habermann, Kostas Daniilidis, Christian Theobalt, and Lingjie Liu. 2022 · 2022
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MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. In
Zhiqin Chen, Thomas Funkhouser, Peter Hedman, and Andrea Tagliasacchi. 2023 · 2023
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VMesh: Hybrid Volume-Mesh Representation for Efficient View Synthesis
Yuan-Chen Guo, Yan-Pei Cao, Chen Wang, Yu He, Ying Shan, Xiaohu Qie, and Song-Hai Zhang. 2023 · 2023
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3D Gaussian Splatting for Real-Time Radiance Field Rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis. 2023 · 2023
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Neuralangelo: High-Fidelity Neural Surface Reconstruction. In
Max Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, and Chen-Hsuan Lin. 2023 · 2023
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NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes
Marie-Julie Rakotosaona, Fabian Manhardt, Diego Martin Arroyo, Michael Niemeyer, Abhijit Kundu, and Federico Tombari. 2023 · 2023
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Merf: Memory-efficient radiance fields for real-time view synthesis in unbounded scenes
Christian Reiser, Richard Szeliski, Dor Verbin, Pratul P Srinivasan, Ben Mildenhall, Andreas Geiger, Jonathan T Barron, and Peter Hedman. 2023 · 2023
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PermutoSDF: Fast Multi-View Reconstruction with Implicit Surfaces using Permutohedral Lattices. In
Radu Alexandru Rosu and Sven Behnke. 2023 · 2023
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Nerfstudio: A Modular Framework for Neural Radiance Field Development. In
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
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Delicate textured mesh recovery from nerf via adaptive surface refinement
Jiaxiang Tang, Hang Zhou, Xiaokang Chen, Tianshu Hu, Errui Ding, Jingdong Wang, and Gang Zeng. 2023 · 2023
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Learning Neural Duplex Radiance Fields for Real-Time View Synthesis
Ziyu Wan, Christian Richardt, Aljaž Božič, Chao Li, Vijay Rengarajan, Seonghyeon Nam, Xiaoyu Xiang, Tuotuo Li, Bo Zhu, Rakesh Ranjan, et al · 2023
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Neural Fields meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes. In
Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, and Sanja Fidler. 2023 · 2023
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BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
Lior Yariv, Peter Hedman, Christian Reiser, Dor Verbin, Pratul P Srinivasan, Richard Szeliski, Jonathan T Barron, and Ben Mildenhall. 2023 · 2023
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MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. In
Zhiqin Chen, Thomas Funkhouser, Peter Hedman, and Andrea Tagliasacchi. 2023 · 2023
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Neuralangelo: High-Fidelity Neural Surface Reconstruction. In
Max Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, and Chen-Hsuan Lin. 2023 · 2023
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BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
Lior Yariv, Peter Hedman, Christian Reiser, Dor Verbin, Pratul P Srinivasan, Richard Szeliski, Jonathan T Barron, and Ben Mildenhall. 2023 · 2023
Closest in time.