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Methodology
← Processing
Computer Vision
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Processing
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Image Restoration
3606 directly classified papers
Papers per year
2003: 1
2006: 5
2007: 3
2008: 4
2009: 4
2010: 5
2011: 4
2012: 7
2013: 100
2014: 58
2015: 114
2016: 52
2017: 85
2018: 124
2019: 205
2020: 247
2021: 382
2022: 297
2023: 505
2024: 543
2025: 685
2026: 176
Papers
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts
NIPS 2024
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
NIPS 2024
Taming Generative Diffusion Prior for Universal Blind Image Restoration
NIPS 2024
Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
CVPR 2024
Unsupervised Blind Image Deblurring Based on Self-Enhancement
CVPR 2024
Masked and Shuffled Blind Spot Denoising for Real-World Images
CVPR 2024
Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion
CVPR 2024
PFStorer: Personalized Face Restoration and Super-Resolution
CVPR 2024
Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement
CVPR 2024
MR-VNet: Media Restoration using Volterra Networks
CVPR 2024
Restoration by Generation with Constrained Priors
CVPR 2024
LAN: Learning to Adapt Noise for Image Denoising
CVPR 2024
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
CVPR 2024
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
CVPR 2024
Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features
CVPR 2024
SinSR: Diffusion-Based Image Super-Resolution in a Single Step
CVPR 2024
Transfer CLIP for Generalizable Image Denoising
CVPR 2024
Look-Up Table Compression for Efficient Image Restoration
CVPR 2024
Learning Degradation-Independent Representations for Camera ISP Pipelines
CVPR 2024
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
CVPR 2024
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
CVPR 2024
Text-guided Explorable Image Super-resolution
CVPR 2024
FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion
CVPR 2024
SuperPrimitive: Scene Reconstruction at a Primitive Level
CVPR 2024
Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
CVPR 2024
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