Summary of Omnihands: Towards Robust 4d Hand Mesh Recovery Via a Versatile Transformer, by Dixuan Lin et al.
OmniHands: Towards Robust 4D Hand Mesh Recovery via A Versatile Transformer
by Dixuan Lin, Yuxiang Zhang, Mengcheng Li, Yebin Liu, Wei Jing, Qi Yan, Qianying Wang, Hongwen Zhang
First submitted to arxiv on: 30 May 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Graphics (cs.GR)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed OmniHands approach addresses limitations in recovering interactive hand meshes and their relative movement from monocular or multi-view inputs. It develops a universal architecture with novel tokenization and contextual feature fusion strategies, capable of adapting to various tasks. The Relation-aware Two-Hand Tokenization (RAT) method embeds positional relation information into hand tokens, handling single-hand and two-hand inputs while leveraging relative hand positions. This enables the reconstruction of intricate hand interactions in real-world scenarios. The 4D Interaction Reasoning (FIR) module fuses hand tokens in 4D with attention and decodes them into 3D hand meshes and relative temporal movements. Experimental results on benchmark datasets demonstrate superior performances for interactive hand reconstruction. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary OmniHands is a new way to understand how hands move together from just looking at pictures or videos. Right now, computers are bad at figuring out what’s happening with two hands moving together. The OmniHands approach solves this problem by creating a special kind of computer code that can understand the relationship between two hands. This helps computers recognize complex hand movements and interactions in real-life situations. By using this new method, computers can better analyze and understand human behavior. |
Keywords
» Artificial intelligence » Attention » Tokenization
