IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Hanting, Jin, Tao, Lin, Wang, Wang, Shulei, Huang, Hai, Ji, Shengpeng, Zhao, Zhou |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal
por: Wang, Hanting, et al.
Publicado: (2025)
por: Wang, Hanting, et al.
Publicado: (2025)
Open-set Cross Modal Generalization via Multimodal Unified Representation
por: Huang, Hai, et al.
Publicado: (2025)
por: Huang, Hai, et al.
Publicado: (2025)
Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations
por: Huang, Hai, et al.
Publicado: (2025)
por: Huang, Hai, et al.
Publicado: (2025)
Enhancing Multimodal Unified Representations for Cross Modal Generalization
por: Huang, Hai, et al.
Publicado: (2024)
por: Huang, Hai, et al.
Publicado: (2024)
Temporal-Consistent Video Restoration with Pre-trained Diffusion Models
por: Wang, Hengkang, et al.
Publicado: (2025)
por: Wang, Hengkang, et al.
Publicado: (2025)
Towards Transformer-Based Aligned Generation with Self-Coherence Guidance
por: Wang, Shulei, et al.
Publicado: (2025)
por: Wang, Shulei, et al.
Publicado: (2025)
Residual Diffusion Bridge Model for Image Restoration
por: Wang, Hebaixu, et al.
Publicado: (2025)
por: Wang, Hebaixu, et al.
Publicado: (2025)
Incorporating Pre-trained Diffusion Models in Solving the Schrödinger Bridge Problem
por: Tang, Zhicong, et al.
Publicado: (2025)
por: Tang, Zhicong, et al.
Publicado: (2025)
Boosting Image Restoration via Priors from Pre-trained Models
por: Xu, Xiaogang, et al.
Publicado: (2024)
por: Xu, Xiaogang, et al.
Publicado: (2024)
Universal Image Restoration Pre-training via Degradation Classification
por: Hu, JiaKui, et al.
Publicado: (2025)
por: Hu, JiaKui, et al.
Publicado: (2025)
Black-box Membership Inference Attacks on the Pre-training Data of Image-generation Models
por: Qi, Tao, et al.
Publicado: (2026)
por: Qi, Tao, et al.
Publicado: (2026)
RaLD: Generating High-Resolution 3D Radar Point Clouds with Latent Diffusion
por: Zhang, Ruijie, et al.
Publicado: (2025)
por: Zhang, Ruijie, et al.
Publicado: (2025)
Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training
por: Sun, Peng, et al.
Publicado: (2026)
por: Sun, Peng, et al.
Publicado: (2026)
Universal Image Restoration Pre-training via Masked Degradation Classification
por: Hu, JiaKui, et al.
Publicado: (2025)
por: Hu, JiaKui, et al.
Publicado: (2025)
Image Restoration via Primal Dual Hybrid Gradient and Flow Generative Model
por: Li, Ji, et al.
Publicado: (2025)
por: Li, Ji, et al.
Publicado: (2025)
Generic Knowledge Boosted Pre-training For Remote Sensing Images
por: Huang, Ziyue, et al.
Publicado: (2024)
por: Huang, Ziyue, et al.
Publicado: (2024)
Your Pre-trained Diffusion Model Secretly Knows Restoration
por: Rajagopalan, Sudarshan, et al.
Publicado: (2026)
por: Rajagopalan, Sudarshan, et al.
Publicado: (2026)
Energy-oriented Diffusion Bridge for Image Restoration with Foundational Diffusion Models
por: Hou, Jinhui, et al.
Publicado: (2026)
por: Hou, Jinhui, et al.
Publicado: (2026)
Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey
por: Li, Xin, et al.
Publicado: (2023)
por: Li, Xin, et al.
Publicado: (2023)
IGR: Improving Diffusion Model for Garment Restoration from Person Image
por: Shen, Le, et al.
Publicado: (2024)
por: Shen, Le, et al.
Publicado: (2024)
Bridging Degradation Discrimination and Generation for Universal Image Restoration
por: Hu, JiaKui, et al.
Publicado: (2026)
por: Hu, JiaKui, et al.
Publicado: (2026)
Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model
por: Xiao, Peng, et al.
Publicado: (2025)
por: Xiao, Peng, et al.
Publicado: (2025)
Integrating Reweighted Least Squares with Plug-and-Play Diffusion Priors for Noisy Image Restoration
por: Li, Ji, et al.
Publicado: (2025)
por: Li, Ji, et al.
Publicado: (2025)
Ultrasound-CLIP: Semantic-Aware Contrastive Pre-training for Ultrasound Image-Text Understanding
por: Jin, Jiayun, et al.
Publicado: (2026)
por: Jin, Jiayun, et al.
Publicado: (2026)
Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration
por: Tu, Luwei, et al.
Publicado: (2026)
por: Tu, Luwei, et al.
Publicado: (2026)
Generative Preprocessing for Image Compression with Pre-trained Diffusion Models
por: Guo, Mengxi, et al.
Publicado: (2025)
por: Guo, Mengxi, et al.
Publicado: (2025)
Distilling Semantic Priors from SAM to Efficient Image Restoration Models
por: Zhang, Quan, et al.
Publicado: (2024)
por: Zhang, Quan, et al.
Publicado: (2024)
Diffusion Restoration Adapter for Real-World Image Restoration
por: Liang, Hanbang, et al.
Publicado: (2025)
por: Liang, Hanbang, et al.
Publicado: (2025)
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing
por: Yang, Biao, et al.
Publicado: (2025)
por: Yang, Biao, et al.
Publicado: (2025)
Show and Polish: Reference-Guided Identity Preservation in Face Video Restoration
por: Han, Wenkang, et al.
Publicado: (2025)
por: Han, Wenkang, et al.
Publicado: (2025)
Let ViT Speak: Generative Language-Image Pre-training
por: Fang, Yan, et al.
Publicado: (2026)
por: Fang, Yan, et al.
Publicado: (2026)
Pre-training Point Cloud Compact Model with Partial-aware Reconstruction
por: Zha, Yaohua, et al.
Publicado: (2024)
por: Zha, Yaohua, et al.
Publicado: (2024)
Towards Scalable Pre-training of Visual Tokenizers for Generation
por: Yao, Jingfeng, et al.
Publicado: (2025)
por: Yao, Jingfeng, et al.
Publicado: (2025)
Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration
por: Dudhane, Akshay, et al.
Publicado: (2024)
por: Dudhane, Akshay, et al.
Publicado: (2024)
RaUF: Learning the Spatial Uncertainty Field of Radar
por: Wang, Shengpeng, et al.
Publicado: (2026)
por: Wang, Shengpeng, et al.
Publicado: (2026)
VILA: On Pre-training for Visual Language Models
por: Lin, Ji, et al.
Publicado: (2023)
por: Lin, Ji, et al.
Publicado: (2023)
O$^2$-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model
por: Hu, Yubin, et al.
Publicado: (2023)
por: Hu, Yubin, et al.
Publicado: (2023)
Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration
por: Cheng, Xinlong, et al.
Publicado: (2024)
por: Cheng, Xinlong, et al.
Publicado: (2024)
Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection
por: Chen, Yingjian, et al.
Publicado: (2024)
por: Chen, Yingjian, et al.
Publicado: (2024)
From Macro to Micro: Boosting micro-expression recognition via pre-training on macro-expression videos
por: Li, Hanting, et al.
Publicado: (2024)
por: Li, Hanting, et al.
Publicado: (2024)
Ejemplares similares
-
TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal
por: Wang, Hanting, et al.
Publicado: (2025) -
Open-set Cross Modal Generalization via Multimodal Unified Representation
por: Huang, Hai, et al.
Publicado: (2025) -
Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations
por: Huang, Hai, et al.
Publicado: (2025) -
Enhancing Multimodal Unified Representations for Cross Modal Generalization
por: Huang, Hai, et al.
Publicado: (2024) -
Temporal-Consistent Video Restoration with Pre-trained Diffusion Models
por: Wang, Hengkang, et al.
Publicado: (2025)