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Disentangling Geometric Deformation Spaces in Generative Latent Shape Models.

, , , and . Int. J. Comput. Vis., 131 (7): 1611-1641 (July 2023)

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Denoising Moving Heart Wall Fibers Using Cartan Frames., , , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 672-680. Springer, (2017)Disentangling Geometric Deformation Spaces in Generative Latent Shape Models., , , and . CoRR, (2021)Geometric Disentanglement for Generative Latent Shape Models., , , and . CoRR, (2019)Cartan Frames for Heart Wall Fiber Motion., , , , and . FIMH, volume 10263 of Lecture Notes in Computer Science, page 32-41. Springer, (2017)Electrosensory Midbrain Neurons Display Feature Invariant Responses to Natural Communication Stimuli., , , and . PLoS Comput. Biol., (2015)Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations., , , , , , and . CoRR, (2023)Representing 3D Shapes with Probabilistic Directed Distance Fields., , , and . CoRR, (2021)Cycle-Consistent Generative Rendering for 2D-3D Modality Translation., , , , and . 3DV, page 230-240. IEEE, (2020)SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields., , , , , , and . CVPR, page 20669-20679. IEEE, (2023)Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor., , , , , , , , and . BMC Bioinform., (2014)