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The light stage has been widely used in computer graphics for the past two decades, primarily to enable the relighting of human faces.
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Smooth reconstruction and compact representation of reflectance functions for image-based relighting. In Proceedings of the fifteenth eurographics conference on rendering techniques
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A Frequency Analysis of Light Transport. In SIGGRAPH
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Compressive Light Transport Sensing
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Super-resolution imaging
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Optical Computing for Fast Light Transport. In SIGGRAPH
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Practical image-based relighting and editing with spherical-harmonics and local lights. In 2011 Conference for Visual Media Production . IEEE
Borom Tunwattanapong, Abhijeet Ghosh, and Paul Debevec. 2011 · 2011
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The Light Stages and Their Applications to Photoreal Digital Actors. In SIGGRAPH Asia
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Global illumination with radiance regression functions
Peiran Ren, Jiaping Wang, Minmin Gong, Stephen Lin, Xin Tong, and Baining Guo. 2013 · 2013
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Acquiring reflectance and shape from continuous spherical harmonic illumination
Use Portrait mode on your iPhone
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Efficient reflectance capture using an autoencoder
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Progressive Growing of GANs for Improved Quality, Stability, and Variation. In ICLR
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Deep appearance models for face rendering
Stephen Lombardi, Jason Saragih, Tomas Simon, and Yaser Sheikh. 2018 · 2018
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SfSNet: Learning Shape, Refectance and Illuminance of Faces in the Wild. In CVPR
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Borom Tunwattanapong, Graham Fyffe, Paul Graham, Jay Busch, Xueming Yu, Abhijeet Ghosh, and Paul Debevec. 2013 · 2013
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Dropout: a Simple Way to Prevent Neural Networks from Overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 2014
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Fully convolutional networks for semantic segmentation. In CVPR
Jonathan Long, Evan Shelhamer, and Trevor Darrell. 2015 · 2015
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Image Based Relighting Using Neural Networks
Peiran Ren, Yue Dong, Stephen Lin, Xin Tong, and Baining Guo. 2015 · 2015
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U-Net: Convolutional Networks for Biomedical Image Segmentation. In MICCAI
Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015 · 2015
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Deep image-based relighting from optimal sparse samples. In SIGGRAPH
Zexiang Xu, Kalyan Sunkavalli, Sunil Hadap, and Ravi Ramamoorthi. 2018 · 2018
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Light Field Super-Resolution: A Benchmark. In CVPR Workshops
Zhen Cheng, Zhiwei Xiong, Chang Chen, and Dong Liu. 2019 · 2019
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The Relightables: Volumetric Performance Capture of Humans with Realistic Relighting. In SIGGRAPH Asia
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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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Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines. In SIGGRAPH
Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar. 2019 · 2019
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Structural Decompositions for End-to-End Relighting
Thomas Nestmeyer, Iain Matthews, Jean-François Lalonde, and Andreas M Lehrmann. 2019 · 2019
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Neural btf compression and interpolation. In Computer Graphics Forum
Gilles Rainer, Wenzel Jakob, Abhijeet Ghosh, and Tim Weyrich. 2019 · 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 E. Debevec, and Ravi Ramamoorthi. 2019 · 2019
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State of the Art on Neural Rendering
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, et al · 2020
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