17 citations · 45 across the 9 of their papers we have counts for
12 papers · 1 filter
DreamVTON: Customizing 3D Virtual Try-on with Personalized Diffusion Models
Zhenyu Xie, Haoye Dong, Yufei Gao +2
Image-based 3D Virtual Try-ON (VTON) aims to sculpt the 3D human according to person and clothes images, which is data-efficient (i.e., getting rid of expensive 3D data) but challe…
WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on
xujie zhang, Xiu Li, Michael Kampffmeyer +5
Image-based Virtual Try-On (VITON) aims to transfer an in-shop garment image onto a target person. While existing methods focus on warping the garment to fit the body pose, they of…
Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos
Haoyuan Li, Haoye Dong, Hanchao Jia +4
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…
XFormer: Fast and Accurate Monocular 3D Body Capture
Lihui Qian, Xintong Han, Faqiang Wang +6
We present XFormer, a novel human mesh and motion capture method that achieves real-time performance on consumer CPUs given only monocular images as input. The proposed network arc…
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…
Human MotionFormer: Transferring Human Motions with Vision Transformers
Hongyu Liu, Xintong Han, Chengbin Jin +8
Human motion transfer aims to transfer motions from a target dynamic person to a source static one for motion synthesis. An accurate matching between the source person and the targ…