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20222026
most citedGP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning

9 citations · 9 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Cross-modal Identity Mapping: Minimizing Information Loss in Modality Conversion via Reinforcement Learning

Haonan Jia, Shichao Dong, Xin Dong +6

Large Vision-Language Models (LVLMs) often omit or misrepresent critical visual content in generated image captions. Minimizing such information loss will force LVLMs to focus on i…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2023

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…

cs.CV20239 cited

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…

cs.CV2022

Dressing in the Wild by Watching Dance Videos

Xin Dong, Fuwei Zhao, Zhenyu Xie +6

While significant progress has been made in garment transfer, one of the most applicable directions of human-centric image generation, existing works overlook the in-the-wild image…