activity
20242026
collaborators

6 papers

cs.GR2026

Style-Instructed Mask-Free Virtual Try On

Mengqi Zhang, Qi Li, Mehmet Saygin Seyfioglu +1

Virtual Try-On is a promising research area with broad applications in e-commerce and everyday life, enabling users to visualize garments on themselves or others before purchase. M…

cs.CV2025

DiT-VTON: Diffusion Transformer Framework for Unified Multi-Category Virtual Try-On and Virtual Try-All with Integrated Image Editing

Qi Li, Shuwen Qiu, Julien Han +4

The rapid growth of e-commerce has intensified the demand for Virtual Try-On (VTO) technologies, enabling customers to realistically visualize products overlaid on their own images…

cs.CV2025

InstructVTON: Optimal Auto-Masking and Natural-Language-Guided Interactive Style Control for Inpainting-Based Virtual Try-On

Julien Han, Shuwen Qiu, Qi Li +4

We present InstructVTON, an instruction-following interactive virtual try-on system that allows fine-grained and complex styling control of the resulting generation, guided by natu…

cs.CV2025

Efficient Encoder-Free Pose Conditioning and Pose Control for Virtual Try-On

Qi Li, Shuwen Qiu, Julien Han +4

As online shopping continues to grow, the demand for Virtual Try-On (VTON) technology has surged, allowing customers to visualize products on themselves by overlaying product image…

cs.CV2025

DEFT-VTON: Efficient Virtual Try-On with Consistent Generalised H-Transform

Xingzi Xu, Qi Li, Shuwen Qiu +2

Diffusion models enable high-quality virtual try-on (VTO) with their established image synthesis abilities. Despite the extensive end-to-end training of large pre-trained models in…

cs.SE2024

Structured Object Language Modeling (SoLM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising

Amir Tavanaei, Kee Kiat Koo, Hayreddin Ceker +4

In this paper, we study the problem of generating structured objects that conform to a complex schema, with intricate dependencies between the different components (facets) of the…