27 citations · 40 across the 17 of their papers we have counts for
17 papers
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…
MiMIC: Mitigating Visual Modality Collapse in Universal Multimodal Retrieval While Avoiding Semantic Misalignment
Juan Li, Chuanghao Ding, Xujie Zhang +1
Universal Multimodal Retrieval (UMR) aims to map different modalities (e.g., visual and textual) into a shared embedding space for multi-modal retrieval. Existing UMR methods can b…
AnyCrowd: Instance-Isolated Identity-Pose Binding for Arbitrary Multi-Character Animation
Zhenyu Xie, Ji Xia, Michael Kampffmeyer +9
Controllable character animation has advanced rapidly in recent years, yet multi-character animation remains underexplored. As the number of characters grows, multi-character refer…
FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models
Zheng Chong, Yanwei Lei, Shiyue Zhang +7
Despite its great potential, virtual try-on technology is hindered from real-world application by two major challenges: the inability of current methods to support multi-reference…
ComposeAnyone: Controllable Layout-to-Human Generation with Decoupled Multimodal Conditions
Shiyue Zhang, Zheng Chong, Xi Lu +6
Building on the success of diffusion models, significant advancements have been made in multimodal image generation tasks. Among these, human image generation has emerged as a prom…
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…
Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism
Jun Zheng, Jing Wang, Fuwei Zhao +2
Video try-on stands as a promising area for its tremendous real-world potential. Previous research on video try-on has primarily focused on transferring product clothing images to…
GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections
Shiyue Zhang, Zheng Chong, Xujie Zhang +4
General text-to-image models bring revolutionary innovation to the fields of arts, design, and media. However, when applied to garment generation, even the state-of-the-art text-to…
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
Zheng Chong, Xiao Dong, Haoxiang Li +6
Virtual try-on methods based on diffusion models achieve realistic effects but often require additional encoding modules, a large number of training parameters, and complex preproc…
MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation
Xujie Zhang, Ente Lin, Michael Kampffmeyer +6
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…
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…
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment
Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer +6
Cross-modal garment synthesis and manipulation will significantly benefit the way fashion designers generate garments and modify their designs via flexible linguistic interfaces.Cu…
Fashion Matrix: Editing Photos by Just Talking
Zheng Chong, Xujie Zhang, Fuwei Zhao +2
The utilization of Large Language Models (LLMs) for the construction of AI systems has garnered significant attention across diverse fields. The extension of LLMs to the domain of…
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…
UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model
Haonan Yan, Jiaqi Chen, Xujie Zhang +4
Recovering dense human poses from images plays a critical role in establishing an image-to-surface correspondence between RGB images and the 3D surface of the human body, serving t…
WAS-VTON: Warping Architecture Search for Virtual Try-on Network
Zhenyu Xie, Xujie Zhang, Fuwei Zhao +4
Despite recent progress on image-based virtual try-on, current methods are constraint by shared warping networks and thus fail to synthesize natural try-on results when faced with…
Fashion Editing with Adversarial Parsing Learning
Haoye Dong, Xiaodan Liang, Yixuan Zhang +6
Interactive fashion image manipulation, which enables users to edit images with sketches and color strokes, is an interesting research problem with great application value. Existin…