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View article: Hyperbolic Space Learning Method Leveraging Temporal Motion Priors for Human Mesh Recovery
Hyperbolic Space Learning Method Leveraging Temporal Motion Priors for Human Mesh Recovery Open
3D human meshes show a natural hierarchical structure (like torso-limbs-fingers). But existing video-based 3D human mesh recovery methods usually learn mesh features in Euclidean space. It's hard to catch this hierarchical structure accura…
View article: Latent-Info and Low-Dimensional Learning for Human Mesh Recovery and Parallel Optimization
Latent-Info and Low-Dimensional Learning for Human Mesh Recovery and Parallel Optimization Open
Existing 3D human mesh recovery methods often fail to fully exploit the latent information (e.g., human motion, shape alignment), leading to issues with limb misalignment and insufficient local details in the reconstructed human mesh (espe…
View article: CLTalk: Speech-Driven 3D Facial Animation with Contrastive Learning
CLTalk: Speech-Driven 3D Facial Animation with Contrastive Learning Open
Speech-driven 3D facial animation aims to generate realistic and vivid 3D facial animations from speech. However, the scarcity of labeled data and the tendency of existing methods to treat this cross-modal mapping problem as a regression t…
View article: Hflnet: Hierarchical Feature Learning Network for 3d Object Reconstruction
Hflnet: Hierarchical Feature Learning Network for 3d Object Reconstruction Open
View article: DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion
DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion Open
3D object reconstruction from a single-view image is a long-standing challenging problem. Previous work was difficult to accurately reconstruct 3D shapes with a complex topology which has rich details at the edges and corners. Moreover, pr…
View article: Parallel SURF Algorithm for 3D Reconstruction
Parallel SURF Algorithm for 3D Reconstruction Open