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[1] Leon L. Xu,et al. ABO: Dataset and Benchmarks for Real-World 3D Object Understanding , 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Shubham Tulsiani,et al. Shelf-Supervised Mesh Prediction in the Wild , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Jitendra Malik,et al. Shape and Viewpoint without Keypoints , 2020, ECCV.
[4] Yu-Wing Tai,et al. Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking , 2020, ECCV.
[5] Abhinav Gupta,et al. Implicit Mesh Reconstruction from Unannotated Image Collections , 2020, ArXiv.
[6] Baoyuan Wu,et al. Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation , 2020, IEEE Transactions on Image Processing.
[7] Abhinav Gupta,et al. Articulation-Aware Canonical Surface Mapping , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Ronen Basri,et al. Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance , 2020, NeurIPS.
[9] Pratul P. Srinivasan,et al. NeRF , 2020, ECCV.
[10] Jan Kautz,et al. Self-supervised Single-view 3D Reconstruction via Semantic Consistency , 2020, ECCV.
[11] Ross B. Girshick,et al. PointRend: Image Segmentation As Rendering , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Andreas Geiger,et al. Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Wan-Yen Lo,et al. Accelerating 3D deep learning with PyTorch3D , 2019, SIGGRAPH Asia 2020 Courses.
[14] S. Fidler,et al. Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer , 2019, NeurIPS.
[15] Jitendra Malik,et al. Mesh R-CNN , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[16] Hao Li,et al. Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[17] Graham Fyffe,et al. Stereo Magnification: Learning View Synthesis using Multiplane Images , 2018, ArXiv.
[18] Long Quan,et al. MVSNet: Depth Inference for Unstructured Multi-view Stereo , 2018, ECCV.
[19] Zhengqi Li,et al. MegaDepth: Learning Single-View Depth Prediction from Internet Photos , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Jitendra Malik,et al. Learning Category-Specific Mesh Reconstruction from Image Collections , 2018, ECCV.
[21] Zhichao Yin,et al. GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[22] Alexei A. Efros,et al. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[23] Tatsuya Harada,et al. Neural 3D Mesh Renderer , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Noah Snavely,et al. Unsupervised Learning of Depth and Ego-Motion from Video , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Subhransu Maji,et al. 3D Shape Induction from 2D Views of Multiple Objects , 2016, 2017 International Conference on 3D Vision (3DV).
[26] Frank Hutter,et al. SGDR: Stochastic Gradient Descent with Warm Restarts , 2016, ICLR.
[27] Jan-Michael Frahm,et al. Pixelwise View Selection for Unstructured Multi-View Stereo , 2016, ECCV.
[28] Jan-Michael Frahm,et al. Structure-from-Motion Revisited , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Jitendra Malik,et al. Category-specific object reconstruction from a single image , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Michael J. Black,et al. OpenDR: An Approximate Differentiable Renderer , 2014, ECCV.
[31] Henrik Aanæs,et al. Large Scale Multi-view Stereopsis Evaluation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Marc Pollefeys,et al. Photometric Bundle Adjustment for Dense Multi-view 3D Modeling , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Lourdes Agapito,et al. Reconstructing PASCAL VOC , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[35] Andreas Geiger,et al. Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..
[36] Richard Szeliski,et al. Computer Vision - Algorithms and Applications , 2011, Texts in Computer Science.
[37] Jean Ponce,et al. Accurate, Dense, and Robust Multiview Stereopsis , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] João Paulo Costeira,et al. Estimating 3D shape from degenerate sequences with missing data , 2009, Comput. Vis. Image Underst..
[39] Olivier D. Faugeras,et al. Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score , 2007, International Journal of Computer Vision.
[40] Marc Alexa,et al. Laplacian mesh optimization , 2006, GRAPHITE '06.
[41] Michael M. Kazhdan,et al. Poisson surface reconstruction , 2006, SGP '06.
[42] Greg Turk,et al. Simplification and Repair of Polygonal Models Using Volumetric Techniques , 2003, IEEE Trans. Vis. Comput. Graph..
[43] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[44] Gabriel Taubin,et al. The ball-pivoting algorithm for surface reconstruction , 1999, IEEE Transactions on Visualization and Computer Graphics.
[45] P. Anandan,et al. Direct Recovery of Planar-Parallax from Multiple Frames , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[46] Olivier D. Faugeras,et al. Complete Dense Stereovision Using Level Set Methods , 1998, ECCV.
[47] Thomas Ertl,et al. Computer Graphics - Principles and Practice, 3rd Edition , 2014 .
[48] Jitendra Malik,et al. Modeling and Rendering Architecture from Photographs: A hybrid geometry- and image-based approach , 1996, SIGGRAPH.
[49] A. Laurentini,et al. The Visual Hull Concept for Silhouette-Based Image Understanding , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[50] Paul J. Besl,et al. Method for registration of 3-D shapes , 1992, Other Conferences.
[51] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[52] C. Wheatstone. XVIII. Contributions to the physiology of vision. —Part the first. On some remarkable, and hitherto unobserved, phenomena of binocular vision , 1962, Philosophical Transactions of the Royal Society of London.