29 citations · 108 across the 22 of their papers we have counts for
4 papers · 1 filter
Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning
Zaiyu Huang, Hanhui Li, Zhenyu Xie +3
In this paper, we target image-based person-to-person virtual try-on in the presence of diverse poses and large viewpoint variations. Existing methods are restricted in this settin…
ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design
Xujie Zhang, Yu Sha, Michael C. Kampffmeyer +5
Cross-modal fashion image synthesis has emerged as one of the most promising directions in the generation domain due to the vast untapped potential of incorporating multiple modali…
PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on
Zhenyu Xie, Zaiyu Huang, Fuwei Zhao +5
Image-based virtual try-on is one of the most promising applications of human-centric image generation due to its tremendous real-world potential. In this work, we take a step forw…
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
Using decentralized data for federated training is one promising emerging research direction for alleviating data scarcity in the medical domain. However, in contrast to large-scal…