Copertina

InstructRestore: Region-Customized Image Restoration with Human Instructions

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Shuaizheng, Ma, Jianqi, Sun, Lingchen, Kong, Xiangtao, Zhang, Lei
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

NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution
di: Kong, Xiangtao, et al.
Pubblicazione: (2025)

GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration
di: Kong, Xiangtao, et al.
Pubblicazione: (2026)

Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy
di: Kong, Xiangtao, et al.
Pubblicazione: (2024)

NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge
di: Liang, Jie, et al.
Pubblicazione: (2024)

Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models
di: Wei, Hongyang, et al.
Pubblicazione: (2025)

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge
di: Liang, Jie, et al.
Pubblicazione: (2025)

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

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

Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach
di: Sun, Lingchen, et al.
Pubblicazione: (2024)

InstructIR: High-Quality Image Restoration Following Human Instructions
di: Conde, Marcos V., et al.
Pubblicazione: (2024)

VOSR: A Vision-Only Generative Model for Image Super-Resolution
di: Wu, Rongyuan, et al.
Pubblicazione: (2026)

Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization Perspective
di: Sun, Lingchen, et al.
Pubblicazione: (2023)

One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution
di: Sun, Yujing, et al.
Pubblicazione: (2025)

Self-transcendence: Is External Feature Guidance Indispensable for Accelerating Diffusion Transformer Training?
di: Sun, Lingchen, et al.
Pubblicazione: (2026)

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
di: Yu, Fanghua, et al.
Pubblicazione: (2024)

F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration
di: Liu, Lu, et al.
Pubblicazione: (2024)

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

InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention
di: Zhang, Howard, et al.
Pubblicazione: (2024)

InstructEngine: Instruction-driven Text-to-Image Alignment
di: Lu, Xingyu, et al.
Pubblicazione: (2025)

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

Diffusion Restoration Adapter for Real-World Image Restoration
di: Liang, Hanbang, et al.
Pubblicazione: (2025)

GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation
di: Zhang, Zhengqiang, et al.
Pubblicazione: (2025)

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

Equivariant Sampling for Improving Diffusion Model-based Image Restoration
di: Wu, Chenxu, et al.
Pubblicazione: (2025)

RIRF: Reasoning Image Restoration Framework
di: Yan, Wending, et al.
Pubblicazione: (2026)

AlignCVC: Aligning Cross-View Consistency for Single-Image-to-3D Generation
di: Liang, Xinyue, et al.
Pubblicazione: (2025)

Boosting Image Restoration via Priors from Pre-trained Models
di: Xu, Xiaogang, et al.
Pubblicazione: (2024)

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

Emphasizing Crucial Features for Efficient Image Restoration
di: Gao, Hu, et al.
Pubblicazione: (2024)

Can Nano Banana 2 Replace Traditional Image Restoration Models? An Evaluation of Its Performance on Image Restoration Tasks
di: Sun, Weixiong, et al.
Pubblicazione: (2026)

Residual Diffusion Bridge Model for Image Restoration
di: Wang, Hebaixu, et al.
Pubblicazione: (2025)

Invariance-powered Trustworthy Defense via Remove Then Restore
di: Fu, Xiaowei, et al.
Pubblicazione: (2024)

Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration
di: Qin, Chu-Jie, et al.
Pubblicazione: (2024)

IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond
di: Hu, Peng, et al.
Pubblicazione: (2025)

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

MiM-DiT: MoE in MoE with Diffusion Transformers for All-in-One Image Restoration
di: Kong, Lingshun, et al.
Pubblicazione: (2026)

Region Attention Transformer for Medical Image Restoration
di: Yang, Zhiwen, et al.
Pubblicazione: (2024)

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

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

ClearAIR: A Human-Visual-Perception-Inspired All-in-One Image Restoration
di: Zhang, Xu, et al.
Pubblicazione: (2026)