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Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories

, , , , , , and . (2020)cite arxiv:2002.06478Comment: ICLR2020.

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DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry., , , , and . CoRR, (2020)Category-Level Multi-Part Multi-Joint 3D Shape Assembly., , , , , , , and . CoRR, (2023)RHOBIN Challenge: Reconstruction of Human Object Interaction., , , , , , , , , and 10 other author(s). CoRR, (2024)O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning., , , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 1666-1677. PMLR, (2021)Object Pursuit: Building a Space of Objects via Discriminative Weight Generation., , , , and . ICLR, OpenReview.net, (2022)PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation., , , and . CVPR, page 77-85. IEEE Computer Society, (2017)Compositionally Generalizable 3D Structure Prediction., , , , , , and . CoRR, (2020)COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos., , , , , , and . CoRR, (2022)Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects., , , , and . CoRR, (2023)Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks., , , , , and . CoRR, (2020)