Hugging Face Trending Papers
Jul 9

SkelGen4D: Weakly-Supervised Skeleton-Based 4D Generation for Text-Driven Mesh Animation

We study 4D generation to synthesize temporally coherent sequences of 3D geometry for animation and content creation. In contrast to existing SDS-based optimization methods and video-driven animation approaches, we adopt a skeleton-driven animation framework aligned with standard industrial pipelines, which enables explicit control and editing.

arXiv Computer Vision
Oct 5

Branch-Centric Tokenization and Test-Time Augmentation for Skeleton Generation

The paper presents a new approach to automatic skeleton generation that tackles two key challenges: encoding branch structures into token sequences and leveraging test-time computation. It introduces branch‑centric tokenization, a representation that groups structurally related elements together and directly encodes connectivity, producing more compact sequences than traditional BFS serialization. Additionally, the authors propose view‑augmented generation, a test‑time augmentation technique that rotates the input mesh, aligns predictions, and selects the best skeleton based on mesh coverage and consistency across views, leading to improved accuracy on benchmark datasets.

By Zhengyuan Li, Chuanyu Pan, Yuanming Hu, Raymond A. Yeh
Hugging Face Trending Papers
Jul 30

ViP-Rig: Visual-Prompted Controllable Rigging

Rigging is inherently task-dependent because the same mesh may require different skeletons and deformation behaviors across animation tasks. In practice, artists often inspect an initial rig and repeatedly edit its skeletal structure and deformation behavior to meet specific animation requirements.

arXiv AI
Jun 29

HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration

arXiv:2606. 28215v1 Announce Type: cross Abstract: Extracting dynamic 4D object interactions from massive, in-the-wild monocular videos offers a highly efficient data collection pathway for scaling Embodied AI and training VLAs.

By Jiaxin Li, Yuxiang Wu, Zhenkai Zhang, Xinrui Shi, Haoyuan Wang, Yichen Zhao, Su Linxiang, Chenyang Yu, Mingyu Zhang, Yifan Ding, Boran Wen, Li Zhang, Ruiyang Liu, Yong-Lu Li