1 code implementation • 27 Nov 2023 • Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Chang Liu, Svetlana Lazebnik
By contrast, it is hard to collect paired data for in-the-wild scenes, and therefore, virtual try-on for casual images of people with more diverse poses against cluttered backgrounds is rarely studied.
Ranked #1 on Virtual Try-on on StreetTryOn
no code implementations • 14 Apr 2023 • Aiyu Cui, Svetlana Lazebnik
Since body shape deformation is an essential component of an art character's style, we incorporate a novel skeleton deformation module to reshape the pose of the input person and modify the DiOr pose-guided person generator to be more robust to the rescaled poses falling outside the distribution of the realistic poses that the generator is originally trained on.
1 code implementation • 30 Mar 2023 • Aiyu Cui, Sen He, Tao Xiang, Antoine Toisoul
In this work, we propose a robust warping method for virtual try-on based on a learned garment DensePose which has a direct correspondence with the person's DensePose.
1 code implementation • ICCV 2021 • Aiyu Cui, Daniel McKee, Svetlana Lazebnik
We propose a flexible person generation framework called Dressing in Order (DiOr), which supports 2D pose transfer, virtual try-on, and several fashion editing tasks.
Ranked #1 on Pose Transfer on Deep-Fashion