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DEMEA: Deep Mesh Autoencoders for Non-rigidly Deforming Objects.

, , , , and . ECCV (4), volume 12349 of Lecture Notes in Computer Science, page 601-617. Springer, (2020)

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DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects., , , , and . CoRR, (2019)DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies., , , , and . 3DV, page 27-36. IEEE, (2019)Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints., , , , and . ECCV (16), volume 12361 of Lecture Notes in Computer Science, page 204-222. Springer, (2020)PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations., , , , , and . ECCV (16), volume 12361 of Lecture Notes in Computer Science, page 293-309. Springer, (2020)Advances in neural rendering., , , , , , , , , and 12 other author(s). SIGGRAPH Courses, page 1:1-1:320. ACM, (2021)Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video., , , , , and . CoRR, (2020)Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video., , , , , and . ICCV, page 12939-12950. IEEE, (2021)DEMEA: Deep Mesh Autoencoders for Non-rigidly Deforming Objects., , , , and . ECCV (4), volume 12349 of Lecture Notes in Computer Science, page 601-617. Springer, (2020)