5 papers · 1 filter
WearWow: Native 2K Multi-Garment Virtual Try-On via Adaptive Token Packing and Preference Alignment
Xujie Zhang, Runyan Du, Song Chang +7
Synthesizing native 2K multi-garment virtual try-on is a formidable frontier in digital fashion, critically bottlenecked by two fundamental limitations: the O(N^2) memory explosion…
DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder
Ente Lin, Xujie Zhang, Fuwei Zhao +4
Diffusion models for garment-centric human generation from text or image prompts have garnered emerging attention for their great application potential. However, existing methods o…
MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation
Xujie Zhang, Ente Lin, Xiu Li +4
This paper introduces MMTryon, a multi-modal multi-reference VIrtual Try-ON (VITON) framework, which can generate high-quality compositional try-on results by taking a text instruc…
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…
VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers
Jun Zheng, Fuwei Zhao, Youjiang Xu +2
Video try-on stands as a promising area for its tremendous real-world potential. Prior works are limited to transferring product clothing images onto person videos with simple pose…