Copertina

Unleashing Degradation-Carrying Features in Symmetric U-Net: Simpler and Stronger Baselines for All-in-One Image Restoration

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jiao, Wenlong, Lee, Heyang, Wang, Ping, Zhu, Pengfei, Hu, Qinghua, Ren, Dongwei
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Degradation-Aware Feature Perturbation for All-in-One Image Restoration
di: Tian, Xiangpeng, et al.
Pubblicazione: (2025)

Efficient RAW Image Deblurring with Adaptive Frequency Modulation
di: Jiao, Wenlong, et al.
Pubblicazione: (2025)

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

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration
di: Luo, Wenyang, et al.
Pubblicazione: (2025)

High-Frequency Prior-Driven Adaptive Masking for Accelerating Image Super-Resolution
di: Shang, Wei, et al.
Pubblicazione: (2025)

BasicAVSR: Arbitrary-Scale Video Super-Resolution via Image Priors and Enhanced Motion Compensation
di: Shang, Wei, et al.
Pubblicazione: (2025)

Improving Image Restoration through Removing Degradations in Textual Representations
di: Lin, Jingbo, et al.
Pubblicazione: (2023)

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

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

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

Point Transformer V3: Simpler, Faster, Stronger
di: Wu, Xiaoyang, et al.
Pubblicazione: (2023)

Finding 4-Additive Spanners: Faster, Stronger, and Simpler
di: Qi, Chuhan
Pubblicazione: (2025)

Motion-Aware Adaptive Pixel Pruning for Efficient Local Motion Deblurring
di: Shang, Wei, et al.
Pubblicazione: (2025)

Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning
di: Luo, Liwei, et al.
Pubblicazione: (2025)

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

Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration
di: Zhang, Xu, et al.
Pubblicazione: (2024)

Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration
di: Wu, Gang, et al.
Pubblicazione: (2025)

Degradation-Aware All-in-One Image Restoration via Latent Prior Encoding
di: Sharif, S M A, et al.
Pubblicazione: (2025)

Degradation Frequency Curve: An Explicit Frequency-Quantified Representation for All-in-One Image Restoration
di: Huang, Xinghua, et al.
Pubblicazione: (2026)

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration
di: Rajagopalan, Sudarshan, et al.
Pubblicazione: (2024)

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

Grounding Degradations in Natural Language for All-In-One Video Restoration
di: Janjua, Muhammad Kamran, et al.
Pubblicazione: (2025)

Learning Domain-Aware Task Prompt Representations for Multi-Domain All-in-One Image Restoration
di: Dong, Guanglu, et al.
Pubblicazione: (2026)

Prompt-based Ingredient-Oriented All-in-One Image Restoration
di: Gao, Hu, et al.
Pubblicazione: (2023)

All-in-One Image Compression and Restoration
di: Zeng, Huimin, et al.
Pubblicazione: (2025)

Diffusion Once and Done: Degradation-Aware LoRA for Efficient All-in-One Image Restoration
di: Tang, Ni, et al.
Pubblicazione: (2025)

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

PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
di: Ren, Botao, et al.
Pubblicazione: (2024)

DA2Diff: Exploring Degradation-aware Adaptive Diffusion Priors for All-in-One Weather Restoration
di: Xiong, Jiamei, et al.
Pubblicazione: (2025)

PhyDAE: Physics-Guided Degradation-Adaptive Experts for All-in-One Remote Sensing Image Restoration
di: Dong, Zhe, et al.
Pubblicazione: (2025)

DPMambaIR: All-in-One Image Restoration via Degradation-Aware Prompt State Space Model
di: Liu, Zhanwen, et al.
Pubblicazione: (2025)

OneRestore: A Universal Restoration Framework for Composite Degradation
di: Guo, Yu, et al.
Pubblicazione: (2024)

Adaptive Blind All-in-One Image Restoration
di: Serrano-Lozano, David, et al.
Pubblicazione: (2024)

Stronger Random Baselines for In-Context Learning
di: Yauney, Gregory, et al.
Pubblicazione: (2024)

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration
di: Wang, Yongzhen, et al.
Pubblicazione: (2025)

All-in-One Video Restoration under Smoothly Evolving Unknown Weather Degradations
di: Li, Wenrui, et al.
Pubblicazione: (2026)

Fine-Grained Domain Generalization with Feature Structuralization
di: Yu, Wenlong, et al.
Pubblicazione: (2024)

RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
di: Rajagopalan, Sudarshan, et al.
Pubblicazione: (2025)

EndoIR: Degradation-Agnostic All-in-One Endoscopic Image Restoration via Noise-Aware Routing Diffusion
di: Chen, Tong, et al.
Pubblicazione: (2025)

From Controlled Scenarios to Real-World: Cross-Domain Degradation Pattern Matching for All-in-One Image Restoration
di: Fan, Junyu, et al.
Pubblicazione: (2025)