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Recent advances in implicit neural representation have demonstrated the ability to recover detailed geometry and material from multi-view images.
The rendering equation
James T Kajiya · 1986
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Optical models for direct volume rendering
Nelson Max · 1995
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Object shape and reflectance modeling from observation
Yoichi Sato, Mark D Wheeler, and Katsushi Ikeuchi · 1997
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Rendering synthetic objects into real scenes: Bridging traditional and image-based graphics with global illumination and high dynamic range photography
Paul Debevec · 1998
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Inverse rendering for computer graphics
Stephen Robert Marschner · 1998
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Inverse global illumination: Recovering reflectance models of real scenes from photographs
Yizhou Yu, Paul Debevec, Jitendra Malik, and Tim Hawkins · 1999
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A signal-processing framework for inverse rendering
Ravi Ramamoorthi and Pat Hanrahan · 2001
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Face relighting with radiance environment maps
Zhen Wen, Zicheng Liu, and Thomas S Huang · 2003
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Efficient reflectance and visibility approximations for environment map rendering
Paul Green, Jan Kautz, and Frédo Durand · 2007
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Shape estimation of transparent objects by using inverse polarization ray tracing
Daisuke Miyazaki and Katsushi Ikeuchi · 2007
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Relighting objects from image collections
Tom Haber, Christian Fuchs, Philippe Bekaer, Hans-Peter Seidel, Michael Goesele, and Hendrik PA Lensch · 2009
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All-frequency rendering of dynamic, spatially-varying reflectance
Jiaping Wang, Peiran Ren, Minmin Gong, John Snyder, and Baining Guo · 2009
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Lightweight binocular facial performance capture under uncontrolled lighting
Levi Valgaerts, Chenglei Wu, Andrés Bruhn, Hans-Peter Seidel, and Christian Theobalt · 2012
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Shape, illumination, and reflectance from shading
Jonathan T Barron and Jitendra Malik · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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Radiometric scene decomposition: Scene reflectance, illumination, and geometry from rgb-d images
Stephen Lombardi and Ko Nishino · 2016
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Learning to predict indoor illumination from a single image
Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen, Emiliano Gambaretto, Christian Gagné, and Jean-François Lalonde · 2017
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Practical svbrdf acquisition of 3d objects with unstructured flash photography
Giljoo Nam, Joo Ho Lee, Diego Gutierrez, and Min H Kim · 2018
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Deep image-based relighting from optimal sparse samples
Zexiang Xu, Kalyan Sunkavalli, Sunil Hadap, and Ravi Ramamoorthi · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Real-time rendering
Tomas Akenine-Moller, Eric Haines, and Naty Hoffman · 2019
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Inverse path tracing for joint material and lighting estimation
Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, and Matthias Nießner · 2019
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Neural illumination: Lighting prediction for indoor environments
Shuran Song and Thomas Funkhouser · 2019
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Deep reflectance volumes: Relightable reconstructions from multi-view photometric images
Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, and Ravi Ramamoorthi · 2020
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Deep 3d capture: Geometry and reflectance from sparse multi-view images
Sai Bi, Zexiang Xu, Kalyan Sunkavalli, David Kriegman, and Ravi Ramamoorthi · 2020
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Inverse rendering for complex indoor scenes: Shape, spatially-varying lighting and svbrdf from a single image
Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli, and Manmohan Chandraker · 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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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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Plenoctrees for real-time rendering of neural radiance fields
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa · 2021
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Physg: Inverse rendering with spherical gaussians for physics-based material editing and relighting
Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, and Noah Snavely · 2021
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Nerfactor: Neural factorization of shape and reflectance under an unknown illumination
Xiuming Zhang, Pratul P Srinivasan, Boyang Deng, Paul Debevec, William T Freeman, and Jonathan T Barron · 2021
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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
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Hallucinated neural radiance fields in the wild
Xingyu Chen, Qi Zhang, Xiaoyu Li, Yue Chen, Ying Feng, Xuan Wang, and Jue Wang · 2022
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Seeing the world in a bag of chips
Jeong Joon Park, Aleksander Holynski, and Steven M Seitz · 2020
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Blendedmvs: A large-scale dataset for generalized multi-view stereo networks
Yao Yao, Zixin Luo, Shiwei Li, Jingyang Zhang, Yufan Ren, Lei Zhou, Tian Fang, and Long Quan · 2020
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Multiview neural surface reconstruction by disentangling geometry and appearance
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Basri Ronen, and Yaron Lipman · 2020
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Path-space differentiable rendering
Cheng Zhang, Bailey Miller, Kan Yan, Ioannis Gkioulekas, and Shuang Zhao · 2020
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
Jonathan T Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P Srinivasan · 2021
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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 Barron, and Hendrik Lensch · 2021
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Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
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Shape, light & material decomposition from images using monte carlo rendering and denoising
Jon Hasselgren, Nikolai Hofmann, and Jacob Munkberg · 2022
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HDR-NeRF: High dynamic range neural radiance fields
Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, and Qing Wang · 2022
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Geonerf: Generalizing nerf with geometry priors
Mohammad Mahdi Johari, Yann Lepoittevin, and François Fleuret · 2022
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Neural reflectance for shape recovery with shadow handling
Junxuan Li and Hongdong Li · 2022
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Neural 3d video synthesis from multi-view video
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Neural rays for occlusion-aware image-based rendering
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Deblur-nerf: Neural radiance fields from blurry images
Li Ma, Xiaoyu Li, Jing Liao, Qi Zhang, Xuan Wang, Jue Wang, and Pedro V Sander · 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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Ref-nerf: Structured view-dependent appearance for neural radiance fields
Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan T Barron, and Pratul P Srinivasan · 2022
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Neilf: Neural incident light field for physically-based material estimation
Yao Yao, Jingyang Zhang, Jingbo Liu, Yihang Qu, Tian Fang, David McKinnon, Yanghai Tsin, and Long Quan · 2022
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Modeling indirect illumination for inverse rendering
Yuanqing Zhang, Jiaming Sun, Xingyi He, Huan Fu, Rongfei Jia, and Xiaowei Zhou · 2022
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Mofanerf: Morphable facial neural radiance field
Yiyu Zhuang, Hao Zhu, Xusen Sun, and Xun Cao · 2022
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Local-to-global registration for bundle-adjusting neural radiance fields
Yue Chen, Xingyu Chen, Xuan Wang, Qi Zhang, Yu Guo, Ying Shan, and Fei Wang · 2023
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Inverting the imaging process by learning an implicit camera model
Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, and Qing Wang · 2023
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Local implicit ray function for generalizable radiance field representation
Xin Huang, Qi Zhang, Ying Feng, Xiaoyu Li, Xuan Wang, and Qing Wang · 2023
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Diner: Disorder-invariant implicit neural representation
Shaowen Xie, Hao Zhu, Zhen Liu, Qi Zhang, You Zhou, Xun Cao, and Zhan Ma · 2023
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