1 citations · 1 across the 6 of their papers we have counts for
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UniVVT: A Unified End-to-End Framework for High-Fidelity Video Virtual Try-on
Yushe Cao, Shikun Feng, Fei Shen +5
Video Virtual Try-On (VVT) synthesizes a video of a person wearing a target garment while preserving identity, motion, and scene dynamics. Dominant approaches cast VVT as mask-cond…
MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping
Junyao Gao, Sibo Liu, Jiaxing Li +6
In this paper, we introduce MegaStyle, a novel and scalable data curation pipeline that constructs an intra-style consistent, inter-style diverse and high-quality style dataset. We…
VersaVogue: Visual Expert Orchestration and Preference Alignment for Unified Fashion Synthesis
Jian Yu, Fei Shen, Cong Wang +4
Diffusion models have driven remarkable advancements in fashion image generation, yet prior works usually treat garment generation and virtual dressing as separate problems, limiti…
IMAGHarmony: Controllable Image Editing with Consistent Object Quantity and Layout
Fei Shen, Yutong Gao, Jian Yu +2
Despite advances in diffusion-based image editing, manipulating multi-object scenes remains challenging. Existing approaches often achieve semantic changes at the expense of struct…
WildActor: Unconstrained Identity-Preserving Video Generation
Qin Guo, Tianyu Yang, Xuanhua He +5
Production-ready human video generation requires digital actors to maintain strictly consistent full-body identities across dynamic shots, viewpoints and motions, a setting that re…
IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design
Fei Shen, Jian Yu, Cong Wang +3
This paper presents IMAGGarment, a fine-grained garment generation (FGG) framework that enables high-fidelity garment synthesis with precise control over silhouette, color, and log…