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Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation.

, , , , and . ICCV, page 7212-7221. IEEE, (2019)

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Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild., , , , and . CVPR, page 4989-4999. Computer Vision Foundation / IEEE, (2020)On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 7865-7885. PMLR, (2023)Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks., , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1026-1037. PMLR, (2021)Coupled Functional Maps., , , and . 3DV, page 399-407. IEEE Computer Society, (2016)On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features., , , , , and . LoG, volume 198 of Proceedings of Machine Learning Research, page 11. PMLR, (2022)Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes., , , and . SSVM, volume 6667 of Lecture Notes in Computer Science, page 665-676. Springer, (2011)A Correspondence-Less Approach to Matching of Deformable Shapes., , and . SSVM, volume 6667 of Lecture Notes in Computer Science, page 592-603. Springer, (2011)Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching., , , and . SSVM, volume 6667 of Lecture Notes in Computer Science, page 580-591. Springer, (2011)Shape Correspondence with Isometric and Non-Isometric Deformations., , , , , , , , , and 16 other author(s). 3DOR@Eurographics, page 111-119. Eurographics Association, (2019)Functional correspondence by matrix completion., , , and . CVPR, page 905-914. IEEE Computer Society, (2015)