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Single-image relighting is a challenging task that involves reasoning about the complex interplay between geometry, materials, and lighting.
Illumination for computer generated pictures
Phong Bui-Tuong · 1975
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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 E. Debevec · 1998
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Acquiring the reflectance field of a human face
Paul Debevec, Tim Hawkins, Chris Tchou, Haarm-Pieter Duiker, Westley Sarokin, and Mark Sagar · 2000
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High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
Erik Reinhard, Greg Ward, Sumanta Pattanaik, and Paul Debevec · 2005
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Performance relighting and reflectance transformation with time-multiplexed illumination
Andreas Wenger, Andrew Gardner, Chris Tchou, Jonas Unger, Tim Hawkins, and Paul Debevec · 2005
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Post-production facial performance relighting using reflectance transfer
Pieter Peers, Naoki Tamura, Wojciech Matusik, and Paul Debevec · 2007
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Face relighting from a single image under arbitrary unknown lighting conditions
Yang Wang, Lei Zhang, Zicheng Liu, Gang Hua, Zhen Wen, Zhengyou Zhang, and Dimitris Samaras · 2008
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Physically-based shading at disney
Brent Burley and Walt Disney Animation Studios · 2012
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Coherent spatiotemporal filtering, upsampling and rendering of RGBZ videos
Christian Richardt, Carsten Stoll, Neil A. Dodgson, Hans-Peter Seidel, and Christian Theobalt · 2012
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Shape, illumination, and reflectance from shading
Jonathan T. Barron and Jitendra Malik · 2015
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Image based relighting using neural networks
Peiran Ren, Yue Dong, Stephen Lin, Xin Tong, and Baining Guo · 2015
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Burst photography for high dynamic range and low-light imaging on mobile cameras
Samuel W. Hasinoff, Dillon Sharlet, Ryan Geiss, Andrew Adams, Jonathan T. Barron, Florian Kainz, Jiawen Chen, and Marc Levoy · 2016
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Learning non-lambertian object intrinsics across shapenet categories, 2016
Jian Shi, Yue Dong, Hao Su, and Stella X. Yu · 2016
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Recovering shape and spatially-varying surface reflectance under unknown illumination
Rui Xia, Yue Dong, Pieter Peers, and Xin Tong · 2016
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Neural face editing with intrinsic image disentangling
Zhixin Shu, Ersin Yumer, Sunil Hadap, Kalyan Sunkavalli, Eli Shechtman, and Dimitris Samaras · 2017
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Interactive relighting in single low-dynamic range images
Jung-Hsuan Wu and Suguru Saito · 2017
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Blender - a 3D modelling and rendering package
Blender Online Community · 2018
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Relighting humans: occlusion-aware inverse rendering for full-body human images
Yoshihiro Kanamori and Yuki Endo · 2018
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Learning to reconstruct shape and spatially-varying reflectance from a single image
Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Kalyan Sunkavalli, and Manmohan Chandraker · 2018
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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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The relightables
Kaiwen Guo, Peter Lincoln, Philip L. Davidson, Jay Busch, Xueming Yu, Matt Whalen, Geoff Harvey, Sergio Orts, Rohit Pandey, Jason Dourgarian, Danhang Tang, Anastasia Tkach, Adarsh Kowdle, Emily Cooper, Mingsong Dou, S. Fanello, Graham Fyffe, Christoph Rhemann, Jonathan Taylor, Paul E. Debevec, and Shahram Izadi · 2019
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Decoupled weight decay regularization, 2019
Ilya Loshchilov and Frank Hutter · 2019
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Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination
Abhimitra Meka, Christian Haene, Rohit Pandey, Michael Zollhöfer, Sean Fanello, Graham Fyffe, Adarsh Kowdle, Xueming Yu, Jay Busch, Jason Dourgarian, et al · 2019
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Single image portrait relighting
Tiancheng Sun, Jonathan T Barron, Yun-Ta Tsai, Zexiang Xu, Xueming Yu, Graham Fyffe, Christoph Rhemann, Jay Busch, Paul Debevec, and Ravi Ramamoorthi · 2019
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Deep single-image portrait relighting
Hao Zhou, Sunil Hadap, Kalyan Sunkavalli, and David W Jacobs · 2019
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Neural reflectance fields for appearance acquisition
Sai Bi, Zexiang Xu, Pratul Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, and Ravi Ramamoorthi · 2020
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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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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Learning to factorize and relight a city, 2020
Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, and Noah Snavely · 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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Learning physics-guided face relighting under directional light
Thomas Nestmeyer, Jean-François Lalonde, Iain Matthews, and Andreas Lehrmann · 2020
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Single-shot neural relighting and svbrdf estimation
Shen Sang and M. Chandraker · 2020
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Self-supervised outdoor scene relighting
Ye Yu, Abhimitra Meka, Mohamed Elgharib, Hans-Peter Seidel, Christian Theobalt, and William AP Smith · 2020
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Deep relightable appearance models for animatable faces
Sai Bi, Stephen Lombardi, Shunsuke Saito, Tomas Simon, Shih-En Wei, Kevyn Mcphail, Ravi Ramamoorthi, Yaser Sheikh, and Jason Saragih · 2021
Denoising diffusion implicit models, 2022
Jiaming Song, Chenlin Meng, and Stefano Ermon · 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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Iron: Inverse rendering by optimizing neural sdfs and materials from photometric images
Kai Zhang, Fujun Luan, Zhengqi Li, and Noah Snavely · 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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Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A Efros · 2023
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Retinexformer: One-stage retinex-based transformer for low-light image enhancement
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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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Single-image full-body human relighting
Manuel Lagunas, Xin Sun, Jimei Yang, Ruben Villegas, Jianming Zhang, Zhixin Shu, Belen Masia, and Diego Gutierrez · 2021
Cited alongside, same era.
Sdedit: Guided image synthesis and editing with stochastic differential equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2021
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Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
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Making images real again: A comprehensive survey on deep image composition
Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, and Liqing Zhang · 2021
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Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, and Yulun Zhang · 2023
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Text2light: Zero-shot text-driven hdr panorama generation, 2023
Zhaoxi Chen, Guangcong Wang, and Ziwei Liu · 2023
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Learning a 3d morphable face reflectance model from low-cost data, 2023
Yuxuan Han, Zhibo Wang, and Feng Xu · 2023
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Tensoir: Tensorial inverse rendering
Haian Jin, Isabella Liu, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu, and Hao Su · 2023
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3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
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Segment anything, 2023
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
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Zero-1-to-3: Zero-shot one image to 3d object, 2023
Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, and Carl Vondrick · 2023
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Zero-shot image-to-image translation
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, and Jun-Yan Zhu · 2023
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Diffusionlight: Light probes for free by painting a chrome ball
Pakkapon Phongthawee, Worameth Chinchuthakun, Nontaphat Sinsunthithet, Amit Raj, Varun Jampani, Pramook Khungurn, and Supasorn Suwajanakorn · 2023
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Facelit: Neural 3d relightable faces
Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, and Oncel Tuzel · 2023
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Zero123++: a single image to consistent multi-view diffusion base model, 2023
Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang, Minghua Liu, Chao Xu, Xinyue Wei, Linghao Chen, Chong Zeng, and Hao Su · 2023
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Dreamgaussian: Generative gaussian splatting for efficient 3d content creation
Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, and Gang Zeng · 2023
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Reconfusion: 3d reconstruction with diffusion priors
Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, and Aleksander Holynski · 2023
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Controlcom: Controllable image composition using diffusion model
Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, and Li Niu · 2023
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Neilf++: Inter-reflectable light fields for geometry and material estimation
Jingyang Zhang, Yao Yao, Shiwei Li, Jingbo Liu, Tian Fang, David McKinnon, Yanghai Tsin, and Long Quan · 2023
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Adding conditional control to text-to-image diffusion models, 2023
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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Anydoor: Zero-shot object-level image customization, 2024
Xi Chen, Lianghua Huang, Yu Liu, Yujun Shen, Deli Zhao, and Hengshuang Zhao · 2024
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Mvd-fusion: Single-view 3d via depth-consistent multi-view generation
Hanzhe Hu, Zhizhuo Zhou, Varun Jampani, and Shubham Tulsiani · 2024
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Diffusion model-based image editing: A survey
Yi Huang, Jiancheng Huang, Yifan Liu, Mingfu Yan, Jiaxi Lv, Jianzhuang Liu, Wei Xiong, He Zhang, Shifeng Chen, and Liangliang Cao · 2024
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Stanford-orb: A real-world 3d object inverse rendering benchmark, 2024
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Openillumination: A multi-illumination dataset for inverse rendering evaluation on real objects, 2024
Isabella Liu, Linghao Chen, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, and Hao Su · 2024
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Objects with lighting: A real-world dataset for evaluating reconstruction and rendering for object relighting, 2024
Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepulveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan Richter, Shenlong Wang, and German Ros · 2024
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Dilightnet: Fine-grained lighting control for diffusion-based image generation, 2024
Chong Zeng, Yue Dong, Pieter Peers, Youkang Kong, Hongzhi Wu, and Xin Tong · 2024
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Ic-light github page, 2024
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2024
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