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Semi-supervised 3D shape segmentation with multilevel consistency and part substitution.

, , , , , , and . Comput. Vis. Media, 9 (2): 229-247 (2023)

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Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination., , , , , and . CoRR, (2020)Semi-supervised 3D shape segmentation with multilevel consistency and part substitution., , , , , , and . CoRR, (2022)Randomized Quantization for Data Agnostic Representation Learning., , , , , , , and . CoRR, (2022)SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation., , , and . Comput. Graph. Forum, 41 (5): 52-63 (2022)Rolling guidance normal filter for geometric processing., , , , , and . ACM Trans. Graph., 34 (6): 173:1-173:9 (2015)Locally Attentional SDF Diffusion for Controllable 3D Shape Generation., , , , , and . ACM Trans. Graph., 42 (4): 91:1-91:13 (August 2023)Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion., , and . CVPR Workshops, page 1074-1081. Computer Vision Foundation / IEEE, (2020)3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining., , , , , , , and . CoRR, (2023)Point Transformer V3: Simpler, Faster, Stronger., , , , , , , , and . CoRR, (2023)Learning the Geodesic Embedding with Graph Neural Networks., , , and . ACM Trans. Graph., 42 (6): 236:1-236:12 (December 2023)