Copertina

Self-supervised Dynamic Heterogeneous Degradation Modeling for Unified Zero-Shot Image Restoration

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hu, XiaoWan, Yang, Jing, Liu, HeNan, Li, HuaQiu, Xu, Mai
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Invert2Restore: Zero-Shot Degradation-Blind Image Restoration
di: Chihaoui, Hamadi, et al.
Pubblicazione: (2025)

Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration
di: Tang, Xiaole, et al.
Pubblicazione: (2024)

Degradation-Aware Adaptive Context Gating for Unified Image Restoration
di: He, Lei, et al.
Pubblicazione: (2026)

Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration
di: Tu, Luwei, et al.
Pubblicazione: (2026)

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model
di: Xue, Minglong, et al.
Pubblicazione: (2024)

MetaWeather: Few-Shot Weather-Degraded Image Restoration
di: Kim, Youngrae, et al.
Pubblicazione: (2023)

DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
di: Yeh, Chang-Han, et al.
Pubblicazione: (2024)

LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling
di: Li, Huaqiu, et al.
Pubblicazione: (2025)

One Latent Space to Rule All Degradations: Unifying Restoration Knowledge for Image Fusion
di: Ma, Haolong, et al.
Pubblicazione: (2025)

Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers
di: Cao, Jin, et al.
Pubblicazione: (2024)

Low-Trace Adaptation of Zero-shot Self-supervised Blind Image Denoising
di: Hu, Jintong, et al.
Pubblicazione: (2024)

Exploring Structural Degradation in Dense Representations for Self-supervised Learning
di: Dai, Siran, et al.
Pubblicazione: (2025)

ZeroIDIR: Zero-Reference Illumination Degradation Image Restoration with Perturbed Consistency Diffusion Models
di: Jiang, Hai, et al.
Pubblicazione: (2026)

VLM-Augmented Degradation Modeling for Image Restoration Under Adverse Weather Conditions
di: Shao, Qianyi, et al.
Pubblicazione: (2025)

Quick Bypass Mechanism of Zero-Shot Diffusion-Based Image Restoration
di: Tai, Yu-Shan, et al.
Pubblicazione: (2025)

DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability
di: Hu, Xirui, et al.
Pubblicazione: (2025)

Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model
di: Cao, Cong, et al.
Pubblicazione: (2024)

Dynamic Degradation Decomposition Network for All-in-One Image Restoration
di: Wang, Huiqiang, et al.
Pubblicazione: (2025)

Bridging Degradation Discrimination and Generation for Universal Image Restoration
di: Hu, JiaKui, et al.
Pubblicazione: (2026)

All-in-one Weather-degraded Image Restoration via Adaptive Degradation-aware Self-prompting Model
di: Wen, Yuanbo, et al.
Pubblicazione: (2024)

Unified-Width Adaptive Dynamic Network for All-In-One Image Restoration
di: Xu, Yimin, et al.
Pubblicazione: (2024)

From Physical Degradation Models to Task-Aware All-in-One Image Restoration
di: Gao, Hu, et al.
Pubblicazione: (2026)

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration
di: He, Chunming, et al.
Pubblicazione: (2025)

Degradation-Aware Metric Prompting for Hyperspectral Image Restoration
di: Wang, Binfeng, et al.
Pubblicazione: (2025)

AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations
di: Mao, Jiawei, et al.
Pubblicazione: (2024)

Adapter Shield: A Unified Framework with Built-in Authentication for Preventing Unauthorized Zero-Shot Image-to-Image Generation
di: Jia, Jun, et al.
Pubblicazione: (2025)

Test-Time Degradation Adaptation for Open-Set Image Restoration
di: Gou, Yuanbiao, et al.
Pubblicazione: (2023)

UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity
di: Lin, Jingbo, et al.
Pubblicazione: (2024)

Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
di: Garber, Tomer, et al.
Pubblicazione: (2024)

Universal Image Restoration Pre-training via Degradation Classification
di: Hu, JiaKui, et al.
Pubblicazione: (2025)

Zero-Shot Video Restoration and Enhancement with Assistance of Video Diffusion Models
di: Cao, Cong, et al.
Pubblicazione: (2026)

Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations
di: Yue, Yufeng, et al.
Pubblicazione: (2024)

Physically Interpretable Multi-Degradation Image Restoration via Deep Unfolding and Explainable Convolution
di: Gao, Hu, et al.
Pubblicazione: (2025)

Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training
di: Qiu, Longtian, et al.
Pubblicazione: (2024)

GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity
di: Cao, Shuo, et al.
Pubblicazione: (2024)

From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning
di: Liu, Yang, et al.
Pubblicazione: (2026)

Neural Degradation Representation Learning for All-In-One Image Restoration
di: Yao, Mingde, et al.
Pubblicazione: (2023)

Mixed Degradation Image Restoration via Local Dynamic Optimization and Conditional Embedding
di: Gu, Yubin, et al.
Pubblicazione: (2024)

UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration
di: He, Chunming, et al.
Pubblicazione: (2025)

DiTVR: Zero-Shot Diffusion Transformer for Video Restoration
di: Gao, Sicheng, et al.
Pubblicazione: (2025)