Imagen de Portada

AdaQual-Diff: Diffusion-Based Image Restoration via Adaptive Quality Prompting

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Su, Xin, Wu, Chen, Zhang, Yu, Lyu, Chen, Zheng, Zhuoran
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bridge the Gap between SNN and ANN for Image Restoration
por: Su, Xin, et al.
Publicado: (2025)

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

VAMamba: An Efficient Visual Adaptive Mamba for Image Restoration
por: Hu, Han, et al.
Publicado: (2025)

Review Learning: Advancing All-in-One Ultra-High-Definition Image Restoration Training Method
por: Su, Xin, et al.
Publicado: (2024)

Distribution-aware Dataset Distillation for Efficient Image Restoration
por: Zheng, Zhuoran, et al.
Publicado: (2025)

Accurate Forgetting for All-in-One Image Restoration Model
por: Su, Xin, et al.
Publicado: (2024)

Defense against Unauthorized Distillation in Image Restoration via Feature Space Perturbation
por: Hu, Han, et al.
Publicado: (2025)

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

AdaDiff: Adaptive Step Selection for Fast Diffusion Models
por: Zhang, Hui, et al.
Publicado: (2023)

DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
por: Lin, Xinqi, et al.
Publicado: (2023)

UniFlowRestore: A General Video Restoration Framework via Flow Matching and Prompt Guidance
por: Sun, Shuning, et al.
Publicado: (2025)

Multi-Exposure Image Fusion via Distilled 3D LUT Grid with Editable Mode
por: Su, Xin, et al.
Publicado: (2024)

MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration
por: Wu, Chen, et al.
Publicado: (2024)

AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation
por: Tang, Shengkun, et al.
Publicado: (2023)

6thGrid-Net: Unified Remote Sensing Image Dehazing Based on Color Restoration and Edge-Preserving
por: Bai, Runci, et al.
Publicado: (2026)

AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation
por: Cui, Yuning, et al.
Publicado: (2024)

IS-Diff: Improving Diffusion-Based Inpainting with Better Initial Seed
por: Lyu, Yongzhe, et al.
Publicado: (2025)

AdaDiffSR: Adaptive Region-aware Dynamic Acceleration Diffusion Model for Real-World Image Super-Resolution
por: Fan, Yuanting, et al.
Publicado: (2024)

U-shaped Vision Mamba for Single Image Dehazing
por: Zheng, Zhuoran, et al.
Publicado: (2024)

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

Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration
por: Wu, Chen, et al.
Publicado: (2024)

Image Super-Resolution with Text Prompt Diffusion
por: Chen, Zheng, et al.
Publicado: (2023)

PromptCIR: Blind Compressed Image Restoration with Prompt Learning
por: Li, Bingchen, et al.
Publicado: (2024)

ProGiDiff: Prompt-Guided Diffusion-Based Medical Image Segmentation
por: Lin, Yuan, et al.
Publicado: (2026)

Uni-DocDiff: A Unified Document Restoration Model Based on Diffusion
por: Zhao, Fangmin, et al.
Publicado: (2025)

Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
por: Zheng, Dian, et al.
Publicado: (2024)

MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration
por: Ren, Yulin, et al.
Publicado: (2024)

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

Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
por: He, Chunming, et al.
Publicado: (2023)

DiffStereo: High-Frequency Aware Diffusion Model for Stereo Image Restoration
por: Cao, Huiyun, et al.
Publicado: (2025)

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

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

IG-Diff: Complex Night Scene Restoration with Illumination-Guided Diffusion Model
por: Chen, Yifan, et al.
Publicado: (2026)

Ultra-High-Definition Image Deblurring via Multi-scale Cubic-Mixer
por: Chen, Xingchi, et al.
Publicado: (2022)

Scan Clusters, Not Pixels: A Cluster-Centric Paradigm for Efficient Ultra-high-definition Image Restoration
por: Wu, Chen, et al.
Publicado: (2026)

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

AdaGen: Learning Adaptive Policy for Image Synthesis
por: Ni, Zanlin, et al.
Publicado: (2026)

AdaIR: Exploiting Underlying Similarities of Image Restoration Tasks with Adapters
por: Chen, Hao-Wei, et al.
Publicado: (2024)

FideDiff: Efficient Diffusion Model for High-Fidelity Image Motion Deblurring
por: Liu, Xiaoyang, et al.
Publicado: (2025)

AdaTooler-V: Adaptive Tool-Use for Images and Videos
por: Wang, Chaoyang, et al.
Publicado: (2025)