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Reflections on glossy objects contain valuable and hidden information about the surrounding environment.
Catadioptric image formation
Shree K Nayar and Simon Baker · 1997
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A theory of catadioptric image formation
S. Baker and S.K. Nayar · 1998
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Planar catadioptric stereo: geometry and calibration
J. Gluckman and S.K. Nayar · 1999
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A signal-processing framework for inverse rendering
Ravi Ramamoorthi and Pat Hanrahan · 2001
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Caustics of catadioptric cameras
R. Swaminathan, M.D. Grossberg, and S.K. Nayar · 2001
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A theory of single-viewpoint catadioptric image formation
Simon Baker and Shree K. Nayar · 2004
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Blind reflectometry
Fabiano Romeiro and Todd Zickler · 2010
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Axial-cones: Modeling spherical catadioptric cameras for wide-angle light field rendering
Yuichi Taguchi, Amit Agrawal, Ashok Veeraraghavan, Srikumar Ramalingam, and Ramesh Raskar · 2010
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Reflectance and natural illumination from a single image
Stephen Lombardi and Ko Nishino · 2012
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Shape, illumination, and reflectance from shading
Jonathan T Barron and Jitendra Malik · 2014
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What is around the camera?
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, and Luc Van Gool · 2017
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Fast spatially-varying indoor lighting estimation
Mathieu Garon, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, and Jean-François Lalonde · 2019
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Mitsuba 2: A retargetable forward and inverse renderer
Merlin Nimier-David, Delio Vicini, Tizian Zeltner, and Wenzel Jakob · 2019
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Neural illumination: Lighting prediction for indoor environments
Shuran Song and Thomas Funkhouser · 2019
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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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Seeing the world in a bag of chips
Jeong Joon Park, Aleksander Holynski, and Steven M Seitz · 2020
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Lighthouse: Predicting lighting volumes for spatially-coherent illumination
Pratul P Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T Barron, Richard Tucker, and Noah Snavely · 2020
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Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan · 2021
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Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman · 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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Akshat Dave, Yongyi Zhao, and Ashok Veeraraghavan · 2022
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Mark Boss, Raphael Braun, Varun Jampani, Jonathan T Barron, Ce Liu, and Hendrik Lensch · 2021
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Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan Barron, and Hendrik Lensch · 2021
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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 · 2021
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Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
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Objects as cameras: Estimating high-frequency illumination from shadows
Tristan Swedish, Connor Henley, and Ramesh Raskar · 2021
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Learning indoor inverse rendering with 3d spatially-varying lighting
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Wide-baseline light fields using ellipsoidal mirrors
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