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Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction.

, , , , , and . ICCV, page 10881-10891. IEEE, (2021)

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Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction., , , , , and . ICCV, page 10881-10891. IEEE, (2021)Continuous Surface Embeddings., , , , , and . NeurIPS, (2020)Unsupervised Learning of 3D Object Categories From Videos in the Wild., , , , , , and . CVPR, page 4700-4709. Computer Vision Foundation / IEEE, (2021)Discovering Relationships Between Object Categories via Universal Canonical Maps., , , , and . CVPR, page 404-413. Computer Vision Foundation / IEEE, (2021)Labeling of data-driven complexes for surface reconstruction. (Partition de complexes guidés par les données pour la reconstruction de surface).. Paris Diderot University, France, (2009)Code Translation with Compiler Representations., , , , , and . CoRR, (2022)Low Bandwidth Video-Chat Compression Using Deep Generative Models., , , , , , , , , and 1 other author(s). CVPR Workshops, page 2388-2397. Computer Vision Foundation / IEEE, (2021)Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction, , , , , and . (2021)cite arxiv:2109.00512.DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension., , , , and . ICCV, page 11709-11719. IEEE, (2021)Code Translation with Compiler Representations., , , , , and . ICLR, OpenReview.net, (2023)