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Learning to Generate Textures on 3D Meshes.

, , , , , and . CVPR Workshops, page 32-38. Computer Vision Foundation / IEEE, (2019)

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As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors., , , and . CoRR, (2023)DECOR-GAN: 3D Shape Detailization by Conditional Refinement., , , , , and . CoRR, (2020)Neural Cages for Detail-Preserving 3D Deformations., , , , and . CoRR, (2019)COALESCE: Component Assembly by Learning to Synthesize Connections., , , , , and . 3DV, page 61-70. IEEE, (2020)Deep Learning for Graphics., , , , , , and . Eurographics (Tutorials), page 13-15. Eurographics Association, (2018)Neural Convolutional Surfaces., , , , and . CVPR, page 19311-19320. IEEE, (2022)A Papier-Mâché Approach to Learning 3D Surface Generation., , , , and . CVPR, page 216-224. Computer Vision Foundation / IEEE Computer Society, (2018)Tooncap: a layered deformable model for capturing poses from cartoon characters., , , , and . Expressive, page 16:1-16:12. ACM, (2018)Deep Parametric Shape Predictions Using Distance Fields., , , , and . CVPR, page 558-567. Computer Vision Foundation / IEEE, (2020)Joint Learning of 3D Shape Retrieval and Deformation., , , , , and . CVPR, page 11713-11722. Computer Vision Foundation / IEEE, (2021)