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Visually exploring in a real-world 4D spatiotemporal space freely in VR has been a long-term quest.
Multiple perspective interactive video
Ramesh Jain and Koji Wakimoto · 1995
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The lumigraph
Steven J. Gortler, Radek Grzeszczuk, Richard Szeliski, and Michael F. Cohen · 1996
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Light field rendering
Marc Levoy and Pat Hanrahan · 1996
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Virtualized reality: Constructing virtual worlds from real scenes
Takeo Kanade, Peter Rander, and PJ Narayanan · 1997
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On-the-fly processing of generalized lumigraphs
Hartmut Schirmacher, Li Ming, and Hans-Peter Seidel · 2001
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A real-time distributed light field camera
Jason C Yang, Matthew Everett, Chris Buehler, and Leonard McMillan · 2002
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Free-viewpoint video of human actors
Joel Carranza, Christian Theobalt, Marcus A Magnor, and Hans-Peter Seidel · 2003
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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High-quality video view interpolation using a layered representation
C Lawrence Zitnick, Sing Bing Kang, Matthew Uyttendaele, Simon Winder, and Richard Szeliski · 2004
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High-quality streamable free-viewpoint video
Alvaro Collet, Ming Chuang, Pat Sweeney, Don Gillett, Dennis Evseev, David Calabrese, Hugues Hoppe, Adam Kirk, and Steve Sullivan · 2015
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Neural volumes: learning dynamic renderable volumes from images
Stephen Lombardi, Tomas Simon, Jason Saragih, Gabriel Schwartz, Andreas Lehrmann, and Yaser Sheikh · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Local light field fusion: Practical view synthesis with prescriptive sampling guidelines
Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar · 2019
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Occupancy flow: 4d reconstruction by learning particle dynamics
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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4d visualization of dynamic events from unconstrained multi-view videos
Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, and Srinivasa Narasimhan · 2020
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X-fields: Implicit neural view-, light-and time-image interpolation
Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, and Tobias Ritschel · 2020
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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
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Neural unsigned distance fields for implicit function learning
Julian Chibane, Gerard Pons-Moll, et al · 2020
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Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 2020
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Consistent video depth estimation
Xuan Luo, Jia-Bin Huang, Richard Szeliski, Kevin Matzen, and Johannes Kopf · 2020
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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 · 2020
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Graf: Generative radiance fields for 3d-aware image synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger · 2020
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Nerd: Neural reflectance decomposition from image collections
Mark Boss, Raphael Braun, Varun Jampani, Jonathan T Barron, Ce Liu, and Hendrik Lensch · 2021
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Neural-pil: Neural pre-integrated lighting for reflectance decomposition
Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, and Hendrik P.A. Lensch · 2021
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pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Eric R Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2021
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Neural radiance flow for 4d view synthesis and video processing
Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, and Jiajun Wu · 2021
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Neusample: Neural sample field for efficient view synthesis
Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, and Qi Tian · 2021
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Fastnerf: High-fidelity neural rendering at 200fps
Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, and Julien Valentin · 2021
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Stylenerf: A style-based 3d aware generator for high-resolution image synthesis
Jiatao Gu, Lingjie Liu, Peng Wang, and Christian Theobalt · 2021
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Baking neural radiance fields for real-time view synthesis
Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, and Paul Debevec · 2021
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Robust consistent video depth estimation
Johannes Kopf, Xuejian Rong, and Jia-Bin Huang · 2021
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Nerf-vae: A geometry aware 3d scene generative model
Adam R Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, and Danilo Jimenez Rezende · 2021
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Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
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Autoint: Automatic integration for fast neural volume rendering
D. B.* Lindell, J. N. P.* Martel, and G. Wetzstein · 2021
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Neural actor: Neural free-view synthesis of human actors with pose control
Lingjie Liu, Marc Habermann, Viktor Rudnev, Kripasindhu Sarkar, Jiatao Gu, and Christian Theobalt · 2021
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
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Tensorf: Tensorial radiance fields
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su · 2022
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Fast dynamic radiance fields with time-aware neural voxels
Jiemin Fang, Taoran Yi, Xinggang Wang, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Matthias Nießner, and Qi Tian · 2022
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V4d: Voxel for 4d novel view synthesis
Wanshui Gan, Hongbin Xu, Yi Huang, Shifeng Chen, and Naoto Yokoya · 2022
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Monocular dynamic view synthesis: A reality check
Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, and Angjoo Kanazawa · 2022
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Mixture of volumetric primitives for efficient neural rendering
Stephen Lombardi, Tomas Simon, Gabriel Schwartz, Michael Zollhöfer, Yaser Sheikh, and Jason M. Saragih · 2021
Cited alongside, same era.
Nerf in the wild: Neural radiance fields for unconstrained photo collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi SM Sajjadi, Jonathan T Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Neural articulated radiance field
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, and Tatsuya Harada · 2021
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Neural scene graphs for dynamic scenes
Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, and Felix Heide · 2021
Cited alongside, same era.
Nerfies: Deformable neural radiance fields
Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Steven M. Seitz, and Ricardo Martin-Brualla · 2021
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Headnerf: A real-time nerf-based parametric head model
Yang Hong, Bo Peng, Haiyao Xiao, Ligang Liu, and Juyong Zhang · 2022
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Zero-shot text-guided object generation with dream fields
Ajay Jain, Ben Mildenhall, Jonathan T Barron, Pieter Abbeel, and Ben Poole · 2022
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D-tensorf: Tensorial radiance fields for dynamic scenes
Hankyu Jang and Daeyoung Kim · 2022
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Decomposing nerf for editing via feature field distillation
Sosuke Kobayashi, Eiichi Matsumoto, and Vincent Sitzmann · 2022
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Adanerf: Adaptive sampling for real-time rendering of neural radiance fields
Andreas Kurz, Thomas Neff, Zhaoyang Lv, Michael Zollhofer, and Markus Steinberger · 2022
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Gravitationally lensed black hole emission tomography
Aviad Levis, Pratul P Srinivasan, Andrew A Chael, Ren Ng, and Katherine L Bouman · 2022
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Streaming radiance fields for 3d video synthesis
Lingzhi Li, Zhen Shen, Zhongshu Wang, Li Shen, and Ping Tan · 2022
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Neural 3d video synthesis from multi-view video
Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard Newcombe, and Zhaoyang Lv · 2022
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Efficient neural radiance fields with learned depth-guided sampling
Haotong Lin, Sida Peng, Zhen Xu, Yunzhi Yan, Qing Shuai, Hujun Bao, and Xiaowei Zhou · 2022
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Devrf: Fast deformable voxel radiance fields for dynamic scenes
Jia-Wei Liu, Yan-Pei Cao, Weijia Mao, Wenqiao Zhang, David Junhao Zhang, Jussi Keppo, Ying Shan, Xiaohu Qie, and Mike Zheng Shou · 2022
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Recovery of continuous 3d refractive index maps from discrete intensity-only measurements using neural fields
Renhao Liu, Yu Sun, Jiabei Zhu, Lei Tian, and Ulugbek S Kamilov · 2022
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Nerf in the dark: High dynamic range view synthesis from noisy raw images
Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul P Srinivasan, and Jonathan T Barron · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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Plenoxels: Radiance fields without neural networks
Sara Fridovich-Keil and Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
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Seeing 3d objects in a single image via self-supervised static-dynamic disentanglement
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T Freeman, Frédo Durand, Joshua B Tenenbaum, and Vincent Sitzmann · 2022
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Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
Cheng Sun, Min Sun, and Hwann-Tzong Chen · 2022
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Variable bitrate neural fields
Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, and Sanja Fidler · 2022
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Block-nerf: Scalable large scene neural view synthesis
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P Srinivasan, Jonathan T Barron, and Henrik Kretzschmar · 2022
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Neural Feature Fusion Fields: 3D distillation of self-supervised 2D image representations
Vadim Tschernezki, Iro Laina, Diane Larlus, and Andrea Vedaldi · 2022
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Fourier plenoctrees for dynamic radiance field rendering in real-time
Liao Wang, Jiakai Zhang, Xinhang Liu, Fuqiang Zhao, Yanshun Zhang, Yingliang Zhang, Minye Wu, Jingyi Yu, and Lan Xu · 2022
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Diver: Real-time and accurate neural radiance fields with deterministic integration for volume rendering
Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, and David Forsyth · 2022
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Neural fields in visual computing and beyond
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, and Srinath Sridhar · 2022
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Nerfusion: Fusing radiance fields for large-scale scene reconstruction
Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, and Zexiang Xu · 2022
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HyperReel: High-fidelity 6-DoF video with ray-conditioned sampling
Benjamin Attal, Jia-Bin Huang, Christian Richardt, Michael Zollhoefer, Johannes Kopf, Matthew O’Toole, and Changil Kim · 2023
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Hexplane: A fast representation for dynamic scenes
Ang Cao and Justin Johnson · 2023
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K-planes: Explicit radiance fields in space, time, and appearance, 2023
Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, and Angjoo Kanazawa · 2023
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