• Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos 

      Li, Haoyuan; Dong, Haoye; Jia, Hanchao; Huang, Dong; Kampffmeyer, Michael Christian; Lin, Liang; Liang, Xiaodan (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-15)
      Multi-person 3D mesh recovery from videos is a critical first step towards automatic perception of group behavior in virtual reality, physical therapy and beyond. However, existing approaches rely on multi-stage paradigms, where the person detection and tracking stages are performed in a multi-person setting, while temporal dynamics are only modeled for one person at a time. Consequently, their ...
    • M3D-VTON: A Monocular-to-3D Virtual Try-On Network 

      Zhao, Fuwei; Xie, Zhenyu; Kampffmeyer, Michael; Dong, Haoye; Han, Songfang; Zheng, Tianxiang; Zhang, Tao; Liang, Xiaodan (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-28)
      Virtual 3D try-on can provide an intuitive and realistic view for online shopping and has a huge potential commercial value. However, existing 3D virtual try-on methods mainly rely on annotated 3D human shapes and garment templates, which hinders their applications in practical scenarios. 2D virtual try-on approaches provide a faster alternative to manipulate clothed humans, but lack the rich and ...
    • Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN 

      Xie, Zhenyu; Huang, Zaiyu; Zhao, Fuwei; Dong, Haoye; Kampffmeyer, Michael; Liang, Xiaodan (Journal article; Tidsskriftartikkel; Peer reviewed, 2021)
      Image-based virtual try-on is one of the most promising applications of human-centric image generation due to its tremendous real-world potential. Yet, as most try-on approaches fit in-shop garments onto a target person, they require the laborious and restrictive construction of a paired training dataset, severely limiting their scalability. While a few recent works attempt to transfer garments ...