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We present ROCA, a novel end-to-end approach that retrieves and aligns 3D CAD models from a shape database to a single input image.
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Microsoft coco: Common objects in context
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Shapenet: An information-rich 3d model repository
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Deeper depth prediction with fully convolutional residual networks
Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, and Nassir Navab · 2016
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A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 2017
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Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2018
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Qian-Yi Zhou, Jaesik Park, and Vladlen Koltun · 2018
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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Neural non-rigid tracking
Aljaz Bozic, Pablo Palafox, Michael Zollöfer, Angela Dai, Justus Thies, and Matthias Nießner · 2020
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Bo Chen, Alvaro Parra, Jiewei Cao, Nan Li, and Tat-Jun Chin · 2020
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Christopher Choy, Wei Dong, and Vladlen Koltun · 2020
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Scan2cad: Learning cad model alignment in rgb-d scans
Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X Chang, and Matthias Nießner · 2019
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End-to-end cad model retrieval and 9dof alignment in 3d scans
Armen Avetisyan, Angela Dai, and Matthias Nießner · 2019
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Joint embedding of 3d scan and cad objects
Manuel Dahnert, Angela Dai, Leonidas J Guibas, and Matthias Nießner · 2019
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Scan2mesh: From unstructured range scans to 3d meshes
Angela Dai and Matthias Nießner · 2019
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Centernet: Keypoint triplets for object detection
Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, and Qi Tian · 2019
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Fast graph representation learning with PyTorch Geometric
Matthias Fey and Jan E. Lenssen · 2019
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Mesh r-cnn
Georgia Gkioxari, Jitendra Malik, and Justin Johnson · 2019
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3d-future: 3d furniture shape with texture
Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve Maybank, and Dacheng Tao · 2020
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Cad-deform: Deformable fitting of cad models to 3d scans
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Mask2cad: 3d shape prediction by learning to segment and retrieve
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, and Angela Dai · 2020
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Vid2cad: Cad model alignment using multi-view constraints from videos
Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, and Vittorio Ferrari · 2020
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Total3dunderstanding: Joint layout, object pose and mesh reconstruction for indoor scenes from a single image
Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, and Jian Jun Zhang · 2020
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Accelerating 3d deep learning with pytorch3d
Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari · 2020
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https://www.scratchapixel.com/lessons/3d-basic-rendering/rasterization-practical-implementation
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