Copertina

RIRF: Reasoning Image Restoration Framework

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yan, Wending, Zhang, Rongkai, Tang, Kaihua, Cheng, Yu, Liu, Qiankun
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

VFM-ISRefiner: Towards Better Adapting Vision Foundation Models for Interactive Segmentation of Remote Sensing Images
di: Wang, Deliang, et al.
Pubblicazione: (2025)

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

NightHaze: Nighttime Image Dehazing via Self-Prior Learning
di: Lin, Beibei, et al.
Pubblicazione: (2024)

Scaling Test-Time Robustness of Vision-Language Models via Self-Critical Inference Framework
di: Tang, Kaihua, et al.
Pubblicazione: (2026)

TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration
di: Tu, Yanjie, et al.
Pubblicazione: (2026)

Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution
di: Jin, Yeying, et al.
Pubblicazione: (2023)

Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
di: Zhu, Beier, et al.
Pubblicazione: (2023)

Infrared-Assisted Single-Stage Framework for Joint Restoration and Fusion of Visible and Infrared Images under Hazy Conditions
di: Li, Huafeng, et al.
Pubblicazione: (2024)

Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration
di: Zhang, Yuhong, et al.
Pubblicazione: (2024)

Invariant Feature Learning for Generalized Long-Tailed Classification
di: Tang, Kaihua, et al.
Pubblicazione: (2022)

Natural Language Supervision for Low-light Image Enhancement
di: Tang, Jiahui, et al.
Pubblicazione: (2025)

Restore, Assess, Repeat: A Unified Framework for Iterative Image Restoration
di: Chen, I-Hsiang, et al.
Pubblicazione: (2026)

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

Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
di: Tang, Kaihua, et al.
Pubblicazione: (2020)

InstructRestore: Region-Customized Image Restoration with Human Instructions
di: Liu, Shuaizheng, et al.
Pubblicazione: (2025)

Divide and Restore: A Modular Task-Decoupled Framework for Universal Image Restoration
di: Wiekiera, Joanna, et al.
Pubblicazione: (2026)

RealRestorer: Towards Generalizable Real-World Image Restoration with Large-Scale Image Editing Models
di: Yang, Yufeng, et al.
Pubblicazione: (2026)

A Preliminary Study on GPT-Image Generation Model for Image Restoration
di: Yang, Hao, et al.
Pubblicazione: (2025)

A Controllable 3D Deepfake Generation Framework with Gaussian Splatting
di: Liu, Wending, 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)

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

WaveDM: Wavelet-Based Diffusion Models for Image Restoration
di: Huang, Yi, et al.
Pubblicazione: (2023)

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

A Preliminary Exploration Towards General Image Restoration
di: Kong, Xiangtao, et al.
Pubblicazione: (2024)

UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation
di: Zhang, Cheng, et al.
Pubblicazione: (2024)

UniLDiff: Unlocking the Power of Diffusion Priors for All-in-One Image Restoration
di: Cheng, Zihan, et al.
Pubblicazione: (2025)

Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration
di: Li, Yawei, et al.
Pubblicazione: (2025)

Derain-Agent: A Plug-and-Play Agent Framework for Rainy Image Restoration
di: Yu, Zhaocheng, et al.
Pubblicazione: (2026)

Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow
di: Zhou, Hanyu, et al.
Pubblicazione: (2024)

Reverse Convolution and Its Applications to Image Restoration
di: Huang, Xuhong, et al.
Pubblicazione: (2025)

Soft Knowledge Distillation with Multi-Dimensional Cross-Net Attention for Image Restoration Models Compression
di: Zhang, Yongheng, et al.
Pubblicazione: (2025)

Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization
di: Chen, Huiyi, et al.
Pubblicazione: (2025)

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

How far have we gone in Generative Image Restoration? A study on its capability, limitations and evaluation practices
di: Yin, Xiang, et al.
Pubblicazione: (2026)

HAT: Hybrid Attention Transformer for Image Restoration
di: Chen, Xiangyu, et al.
Pubblicazione: (2023)

SSP-IR: Semantic and Structure Priors for Diffusion-based Realistic Image Restoration
di: Zhang, Yuhong, et al.
Pubblicazione: (2024)

TSFormer: A Robust Framework for Efficient UHD Image Restoration
di: Su, Xin, et al.
Pubblicazione: (2024)

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration
di: Lin, Yu-Cheng, et al.
Pubblicazione: (2025)

Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization
di: Qi, Jiaxin, et al.
Pubblicazione: (2022)

ReasonEdit: Editing Vision-Language Models using Human Reasoning
di: Qiu, Jiaxing, et al.
Pubblicazione: (2026)