95 citations · 324 across the 18 of their papers we have counts for
7 papers · 1 filter
AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose
Huichao Zhang, Bowen Chen, Hao Yang +7
Creating expressive, diverse and high-quality 3D avatars from highly customized text descriptions and pose guidance is a challenging task, due to the intricacy of modeling and text…
HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation
Zuyan Liu, Gaojie Lin, Congyi Wang +2
With an enormous number of hand images generated over time, unleashing pose knowledge from unlabeled images for supervised hand mesh estimation is an emerging yet challenging topic…
MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction
Congyi Wang, Feida Zhu, Shilei Wen
Existing methods proposed for hand reconstruction tasks usually parameterize a generic 3D hand model or predict hand mesh positions directly. The parametric representations consist…
GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning
Zhenyu Xie, Zaiyu Huang, Xin Dong +5
Image-based Virtual Try-ON aims to transfer an in-shop garment onto a specific person. Existing methods employ a global warping module to model the anisotropic deformation for diff…
Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum
Xiaolin Wen, Kim Siang Yeo, Yong Wang +3
Ethereum has become a popular blockchain with smart contracts for investors nowadays. Due to the decentralization and anonymity of Ethereum, Ponzi schemes have been easily deployed…
NFTDisk: Visual Detection of Wash Trading in NFT Markets
Xiaolin Wen, Yong Wang, Xuanwu Yue +2
With the growing popularity of Non-Fungible Tokens (NFT), a new type of digital assets, various fraudulent activities have appeared in NFT markets. Among them, wash trading has bec…
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency
Ling Cheng, Feida Zhu, Yong Wang +2
With the ever-increasing boom of Cryptocurrency, detecting fraudulent behaviors and associated malicious addresses draws significant research effort. However, most existing studies…