DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Framework
Fuente:
arXiv
Guardado en:
| Autores principales: | Zuo, Tongchun, Huang, Zaiyu, Ning, Shuliang, Lin, Ente, Liang, Chao, Zheng, Zerong, Jiang, Jianwen, Zhang, Yuan, Gao, Mingyuan, Dong, Xin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
TripVVT: A Large-Scale Triplet Dataset and a Coarse-Mask Baseline for In-the-Wild Video Virtual Try-On
por: Shao, Dingbao, et al.
Publicado: (2026)
por: Shao, Dingbao, et al.
Publicado: (2026)
RealVVT: Towards Photorealistic Video Virtual Try-on via Spatio-Temporal Consistency
por: Li, Siqi, et al.
Publicado: (2025)
por: Li, Siqi, et al.
Publicado: (2025)
1-2-1: Renaissance of Single-Network Paradigm for Virtual Try-On
por: Ning, Shuliang, et al.
Publicado: (2025)
por: Ning, Shuliang, et al.
Publicado: (2025)
VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers
por: Zheng, Jun, et al.
Publicado: (2024)
por: Zheng, Jun, et al.
Publicado: (2024)
DreamActor-H1: High-Fidelity Human-Product Demonstration Video Generation via Motion-designed Diffusion Transformers
por: Wang, Lizhen, et al.
Publicado: (2025)
por: Wang, Lizhen, et al.
Publicado: (2025)
DreamVTON: Customizing 3D Virtual Try-on with Personalized Diffusion Models
por: Xie, Zhenyu, et al.
Publicado: (2024)
por: Xie, Zhenyu, et al.
Publicado: (2024)
Video Virtual Try-on with Conditional Diffusion Transformer Inpainter
por: Zou, Cheng, et al.
Publicado: (2025)
por: Zou, Cheng, et al.
Publicado: (2025)
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models
por: He, Zijian, et al.
Publicado: (2024)
por: He, Zijian, et al.
Publicado: (2024)
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models
por: Lin, Gaojie, et al.
Publicado: (2025)
por: Lin, Gaojie, et al.
Publicado: (2025)
MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on
por: Li, Guangyuan, et al.
Publicado: (2025)
por: Li, Guangyuan, et al.
Publicado: (2025)
Improving Diffusion Models for Authentic Virtual Try-on in the Wild
por: Choi, Yisol, et al.
Publicado: (2024)
por: Choi, Yisol, et al.
Publicado: (2024)
DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder
por: Lin, Ente, et al.
Publicado: (2024)
por: Lin, Ente, et al.
Publicado: (2024)
iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance
por: Zheng, Jun, et al.
Publicado: (2026)
por: Zheng, Jun, et al.
Publicado: (2026)
SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models
por: Nguyen, Hung, et al.
Publicado: (2024)
por: Nguyen, Hung, et al.
Publicado: (2024)
Fashion-VDM: Video Diffusion Model for Virtual Try-On
por: Karras, Johanna, et al.
Publicado: (2024)
por: Karras, Johanna, et al.
Publicado: (2024)
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
por: Wang, Haoyu, et al.
Publicado: (2024)
por: Wang, Haoyu, et al.
Publicado: (2024)
Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images
por: Cui, Aiyu, et al.
Publicado: (2023)
por: Cui, Aiyu, et al.
Publicado: (2023)
Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
por: Lee, Seungyong, et al.
Publicado: (2025)
por: Lee, Seungyong, et al.
Publicado: (2025)
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer
por: Luan, Junsheng, et al.
Publicado: (2025)
por: Luan, Junsheng, et al.
Publicado: (2025)
TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On
por: Wan, Zhenchen, et al.
Publicado: (2024)
por: Wan, Zhenchen, et al.
Publicado: (2024)
Masked Extended Attention for Zero-Shot Virtual Try-On In The Wild
por: Orzech, Nadav, et al.
Publicado: (2024)
por: Orzech, Nadav, et al.
Publicado: (2024)
Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On
por: Zhang, Delong, et al.
Publicado: (2024)
por: Zhang, Delong, et al.
Publicado: (2024)
ViViD: Video Virtual Try-on using Diffusion Models
por: Fang, Zixun, et al.
Publicado: (2024)
por: Fang, Zixun, et al.
Publicado: (2024)
DiT-VTON: Diffusion Transformer Framework for Unified Multi-Category Virtual Try-On and Virtual Try-All with Integrated Image Editing
por: Li, Qi, et al.
Publicado: (2025)
por: Li, Qi, et al.
Publicado: (2025)
Human4DiT: 360-degree Human Video Generation with 4D Diffusion Transformer
por: Shao, Ruizhi, et al.
Publicado: (2024)
por: Shao, Ruizhi, et al.
Publicado: (2024)
Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items
por: Chen, Mengting, et al.
Publicado: (2026)
por: Chen, Mengting, et al.
Publicado: (2026)
ITVTON: Virtual Try-On Diffusion Transformer Based on Integrated Image and Text
por: Ni, Haifeng, et al.
Publicado: (2025)
por: Ni, Haifeng, et al.
Publicado: (2025)
OmniHuman-1.5: Instilling an Active Mind in Avatars via Cognitive Simulation
por: Jiang, Jianwen, et al.
Publicado: (2025)
por: Jiang, Jianwen, et al.
Publicado: (2025)
Video Diffusion Transformers are In-Context Learners
por: Fei, Zhengcong, et al.
Publicado: (2024)
por: Fei, Zhengcong, et al.
Publicado: (2024)
Scalable and Realistic Virtual Try-on Application for Foundation Makeup with Kubelka-Munk Theory
por: Pang, Hui, et al.
Publicado: (2025)
por: Pang, Hui, et al.
Publicado: (2025)
PFDM: Parser-Free Virtual Try-on via Diffusion Model
por: Niu, Yunfang, et al.
Publicado: (2024)
por: Niu, Yunfang, et al.
Publicado: (2024)
Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism
por: Zheng, Jun, et al.
Publicado: (2024)
por: Zheng, Jun, et al.
Publicado: (2024)
Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model
por: Miao, Yingmao, et al.
Publicado: (2025)
por: Miao, Yingmao, et al.
Publicado: (2025)
BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching
por: Cui, Hanshuai, et al.
Publicado: (2025)
por: Cui, Hanshuai, et al.
Publicado: (2025)
CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal Concatenation
por: Chong, Zheng, et al.
Publicado: (2025)
por: Chong, Zheng, et al.
Publicado: (2025)
InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditions
por: Wang, Zhenzhi, et al.
Publicado: (2025)
por: Wang, Zhenzhi, et al.
Publicado: (2025)
Ingredients: Blending Custom Photos with Video Diffusion Transformers
por: Fei, Zhengcong, et al.
Publicado: (2025)
por: Fei, Zhengcong, et al.
Publicado: (2025)
Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos
por: Xu, Zhengze, et al.
Publicado: (2024)
por: Xu, Zhengze, et al.
Publicado: (2024)
MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization
por: Deria, Ankan, et al.
Publicado: (2025)
por: Deria, Ankan, et al.
Publicado: (2025)
JCo-MVTON: Jointly Controllable Multi-Modal Diffusion Transformer for Mask-Free Virtual Try-on
por: Wang, Aowen, et al.
Publicado: (2025)
por: Wang, Aowen, et al.
Publicado: (2025)
Ejemplares similares
-
TripVVT: A Large-Scale Triplet Dataset and a Coarse-Mask Baseline for In-the-Wild Video Virtual Try-On
por: Shao, Dingbao, et al.
Publicado: (2026) -
RealVVT: Towards Photorealistic Video Virtual Try-on via Spatio-Temporal Consistency
por: Li, Siqi, et al.
Publicado: (2025) -
1-2-1: Renaissance of Single-Network Paradigm for Virtual Try-On
por: Ning, Shuliang, et al.
Publicado: (2025) -
VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers
por: Zheng, Jun, et al.
Publicado: (2024) -
DreamActor-H1: High-Fidelity Human-Product Demonstration Video Generation via Motion-designed Diffusion Transformers
por: Wang, Lizhen, et al.
Publicado: (2025)