Cover Image

Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Choi, Yisol, Kwak, Sangkyung, Lee, Kyungmin, Choi, Hyungwon, Shin, Jinwoo
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Controllable Human Image Generation with Personalized Multi-Garments
by: Choi, Yisol, et al.
Published: (2024)

Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion Models
by: Lee, Kyungmin, et al.
Published: (2024)

Improving Motion in Image-to-Video Models via Adaptive Low-Pass Guidance
by: Choi, June Suk, et al.
Published: (2025)

StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment
by: Kim, Younghyun, et al.
Published: (2025)

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
by: Choi, June Suk, et al.
Published: (2024)

Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling
by: Lee, Kyungmin, et al.
Published: (2025)

FontAdapter: Instant Font Adaptation in Visual Text Generation
by: Koo, Myungkyu, et al.
Published: (2025)

DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow
by: Lee, Kyungmin, et al.
Published: (2024)

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
by: Yu, Sihyun, et al.
Published: (2024)

Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model
by: Won, John, et al.
Published: (2025)

HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy
by: Koo, Myungkyu, et al.
Published: (2025)

Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
by: Lee, Seungyong, et al.
Published: (2025)

Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models
by: Kim, Sanghyun, et al.
Published: (2024)

Rethinking Garment Conditioning in Diffusion-based Virtual Try-On
by: Na, Kihyun, et al.
Published: (2025)

WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models
by: He, Zijian, et al.
Published: (2024)

Adversarial Robustification via Text-to-Image Diffusion Models
by: Choi, Daewon, et al.
Published: (2024)

Improving Virtual Try-On with Garment-focused Diffusion Models
by: Wan, Siqi, et al.
Published: (2024)

CORAL: Correspondence Alignment for Improved Virtual Try-On
by: Kim, Jiyoung, et al.
Published: (2026)

Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
by: Kim, Sanghyun, et al.
Published: (2024)

Fashion-VDM: Video Diffusion Model for Virtual Try-On
by: Karras, Johanna, et al.
Published: (2024)

Latent Diffusion Models with Masked AutoEncoders
by: Lee, Junho, et al.
Published: (2025)

CAST: Cross-Attention in Space and Time for Video Action Recognition
by: Lee, Dongho, et al.
Published: (2023)

Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images
by: Cui, Aiyu, et al.
Published: (2023)

VTONGuard: Automatic Detection and Authentication of AI-Generated Virtual Try-On Content
by: Wu, Shengyi, et al.
Published: (2026)

Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching
by: Shin, Jeongwoo, et al.
Published: (2026)

Calibrated Multi-Preference Optimization for Aligning Diffusion Models
by: Lee, Kyungmin, et al.
Published: (2025)

FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on
by: Jiang, Boyuan, et al.
Published: (2024)

MV-VTON: Multi-View Virtual Try-On with Diffusion Models
by: Wang, Haoyu, et al.
Published: (2024)

FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
by: Wang, Chenhui, et al.
Published: (2024)

TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On
by: Wan, Zhenchen, et al.
Published: (2024)

CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
by: Zeng, Jianhao, et al.
Published: (2023)

Discovering and Mitigating Visual Biases through Keyword Explanation
by: Kim, Younghyun, et al.
Published: (2023)

DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Framework
by: Zuo, Tongchun, et al.
Published: (2025)

CA^2ST: Cross-Attention in Audio, Space, and Time for Holistic Video Recognition
by: Lee, Jongseo, et al.
Published: (2025)

SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models
by: Nguyen, Hung, et al.
Published: (2024)

Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On
by: Wan, Siqi, et al.
Published: (2025)

MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on
by: Li, Guangyuan, et al.
Published: (2025)

Clothing agnostic Pre-inpainting Virtual Try-ON
by: Kim, Sehyun, et al.
Published: (2025)

ViViD: Video Virtual Try-on using Diffusion Models
by: Fang, Zixun, et al.
Published: (2024)

Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model
by: Miao, Yingmao, et al.
Published: (2025)