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Yannick Hold-Geoffroy | Kalyan Sunkavalli | Ravi Ramamoorthi | Zexiang Xu | Sai Bi | Milovs Havsan | David Kriegman | D. Kriegman | R. Ramamoorthi | Kalyan Sunkavalli | Sai Bi | Zexiang Xu | Yannick Hold-Geoffroy | Milovs Havsan
[1] Sehoon Ha,et al. Iterative Training of Dynamic Skills Inspired by Human Coaching Techniques , 2014, ACM Trans. Graph..
[2] Kalyan Sunkavalli,et al. Deep image-based relighting from optimal sparse samples , 2018, ACM Trans. Graph..
[3] Kalyan Sunkavalli,et al. Deep view synthesis from sparse photometric images , 2019, ACM Trans. Graph..
[4] Kalyan Sunkavalli,et al. Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Pieter Peers,et al. Recovering shape and spatially-varying surface reflectance under unknown illumination , 2016, ACM Trans. Graph..
[6] MatusikWojciech,et al. A data-driven reflectance model , 2003 .
[7] Jean Ponce,et al. Accurate, Dense, and Robust Multiview Stereopsis , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Vladlen Koltun,et al. Color map optimization for 3D reconstruction with consumer depth cameras , 2014, ACM Trans. Graph..
[9] Ravi Ramamoorthi,et al. Patch-based optimization for image-based texture mapping , 2017, ACM Trans. Graph..
[10] Sebastian Nowozin,et al. Occupancy Networks: Learning 3D Reconstruction in Function Space , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Andrew W. Fitzgibbon,et al. KinectFusion: Real-time dense surface mapping and tracking , 2011, 2011 10th IEEE International Symposium on Mixed and Augmented Reality.
[12] Min H. Kim,et al. Simultaneous acquisition of polarimetric SVBRDF and normals , 2018, ACM Trans. Graph..
[13] Steve Marschner,et al. Microfacet Models for Refraction through Rough Surfaces , 2007, Rendering Techniques.
[14] Jaakko Lehtinen,et al. Two-shot SVBRDF capture for stationary materials , 2015, ACM Trans. Graph..
[15] Lu Fang,et al. SurfaceNet: An End-to-End 3D Neural Network for Multiview Stereopsis , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[16] David J. Kriegman,et al. Photometric stereo with non-parametric and spatially-varying reflectance , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Paul E. Debevec,et al. Acquiring the reflectance field of a human face , 2000, SIGGRAPH.
[18] Gordon Wetzstein,et al. DeepVoxels: Learning Persistent 3D Feature Embeddings , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Kalyan Sunkavalli,et al. Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image , 2018, ECCV.
[20] Yun-Ta Tsai,et al. Single image portrait relighting , 2019, ACM Trans. Graph..
[21] Johannes Hanika,et al. Monte Carlo Methods for Volumetric Light Transport Simulation , 2018, Comput. Graph. Forum.
[22] Giljoo Nam,et al. Practical SVBRDF acquisition of 3D objects with unstructured flash photography , 2018, ACM Trans. Graph..
[23] Jian Wang,et al. Reflectance Capture Using Univariate Sampling of BRDFs , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[24] Nelson L. Max,et al. Optical Models for Direct Volume Rendering , 1995, IEEE Trans. Vis. Comput. Graph..
[25] Jan-Michael Frahm,et al. Pixelwise View Selection for Unstructured Multi-View Stereo , 2016, ECCV.
[26] Michael E. Goss,et al. Opacity-weighted color interpolation for volume sampling , 1998, IEEE Symposium on Volume Visualization (Cat. No.989EX300).
[27] Hongzhi Wu,et al. Learning efficient illumination multiplexing for joint capture of reflectance and shape , 2019, ACM Trans. Graph..
[28] Stefan Roth,et al. Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Joe Michael Kniss,et al. A Model for Volume Lighting and Modeling , 2003, IEEE Trans. Vis. Comput. Graph..
[30] Leonidas J. Guibas,et al. Learning Representations and Generative Models for 3D Point Clouds , 2017, ICML.
[31] Michael Bosse,et al. Unstructured lumigraph rendering , 2001, SIGGRAPH.
[32] David W. Jacobs,et al. Deep Single-Image Portrait Relighting , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[33] Mathieu Aubry,et al. A Papier-Mache Approach to Learning 3D Surface Generation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[34] Meng Zhang,et al. Modeling hair from an RGB-D camera , 2018, ACM Trans. Graph..
[35] Graham Fyffe,et al. Stereo Magnification: Learning View Synthesis using Multiplane Images , 2018, ArXiv.
[36] Kalyan Sunkavalli,et al. Learning to reconstruct shape and spatially-varying reflectance from a single image , 2018, ACM Trans. Graph..
[37] Steven M. Seitz,et al. Shape and spatially-varying BRDFs from photometric stereo , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[38] Narendra Ahuja,et al. DeepMVS: Learning Multi-view Stereopsis , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[39] Kiriakos N. Kutulakos,et al. A Theory of Shape by Space Carving , 2000, International Journal of Computer Vision.
[40] Andreas Geiger,et al. Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Brian Karis,et al. Real Shading in Unreal Engine 4 by , 2013 .
[42] Jan-Michael Frahm,et al. Structure-from-Motion Revisited , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Kun Zhou,et al. Simultaneous Localization and Appearance Estimation with a Consumer RGB-D Camera , 2016, IEEE Transactions on Visualization and Computer Graphics.
[44] Jonathan T. Barron,et al. Pushing the Boundaries of View Extrapolation With Multiplane Images , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Marc Levoy,et al. Light field rendering , 1996, SIGGRAPH.
[46] Yiyi Liao,et al. Deep Marching Cubes: Learning Explicit Surface Representations , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[47] Jitendra Malik,et al. Learning Category-Specific Mesh Reconstruction from Image Collections , 2018, ECCV.
[48] Yong Yu,et al. Sparse-as-possible SVBRDF acquisition , 2016, ACM Trans. Graph..
[49] William E. Lorensen,et al. Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.
[50] Michael M. Kazhdan,et al. Poisson surface reconstruction , 2006, SGP '06.
[51] Long Quan,et al. MVSNet: Depth Inference for Unstructured Multi-view Stereo , 2018, ECCV.
[52] Marc Pollefeys,et al. From Point Clouds to Mesh Using Regression , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[53] Jannik Boll Nielsen,et al. Minimal BRDF sampling for two-shot near-field reflectance acquisition , 2016, ACM Trans. Graph..
[54] Wojciech Matusik,et al. A data-driven reflectance model , 2003, ACM Trans. Graph..
[55] Pieter Peers,et al. Compressive light transport sensing , 2009, ACM Trans. Graph..
[56] Jaakko Lehtinen,et al. Reflectance modeling by neural texture synthesis , 2016, ACM Trans. Graph..
[57] Yu Ji,et al. A Neural Rendering Framework for Free-Viewpoint Relighting , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Jonathan T. Barron,et al. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis , 2020, ECCV.
[59] Jianxiong Xiao,et al. 3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[60] E LorensenWilliam,et al. Marching cubes: A high resolution 3D surface construction algorithm , 1987 .
[61] Hao Zhang,et al. Learning Implicit Fields for Generative Shape Modeling , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[62] George Drettakis,et al. Multi-view relighting using a geometry-aware network , 2019, ACM Trans. Graph..
[63] Luc Van Gool,et al. RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[64] Jannik Boll Nielsen,et al. On optimal, minimal BRDF sampling for reflectance acquisition , 2015, ACM Trans. Graph..