5-Degradation Blind All-in-One Image Restoration
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Benchmarks
Most implemented
Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration
Universal Image Restoration Pre-training via Degradation Classification
Adaptive Blind All-in-One Image Restoration
HAIR: Hypernetworks-based All-in-One Image Restoration
Restore Anything Model via Efficient Degradation Adaptation
Ingredient-Oriented Multi-Degradation Learning for Image Restoration
Papers
Universal Image Restoration Pre-training via Degradation Classification
This paper proposes the Degradation Classification Pre-Training (DCPT), which enables models to learn how to classify the degradation type of input images for universal image restoration pre-training. Unlike the existing…
5-Degradation Blind All-in-One Image RestorationImage RestorationTransfer LearningAdaptive Blind All-in-One Image Restoration
Blind all-in-one image restoration models aim to recover a high-quality image from an input degraded with unknown distortions. However, these models require all the possible degradation types to be defined during the tra…
5-Degradation Blind All-in-One Image RestorationAllBlind All-in-One Image RestorationImage RestorationDegradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration
All-in-one image restoration has emerged as a practical and promising low-level vision task for real-world applications. In this context, the key issue lies in how to deal with different types of degraded images simultan…
5-Degradation Blind All-in-One Image RestorationBlind All-in-One Image RestorationImage RestorationUnified Image RestorationHAIR: Hypernetworks-based All-in-One Image Restoration
Image restoration aims to recover a high-quality clean image from its degraded version. Recent progress in image restoration has demonstrated the effectiveness of All-in-One image restoration models in addressing various…
5-Degradation Blind All-in-One Image RestorationAllBlind All-in-One Image Restorationimage-classification+2Restore Anything Model via Efficient Degradation Adaptation
With the proliferation of mobile devices, the need for an efficient model to restore any degraded image has become increasingly significant and impactful. Traditional approaches typically involve training dedicated model…
5-Degradation Blind All-in-One Image RestorationBenchmarkingBlind All-in-One Image RestorationImage Restoration+1Efficient Degradation-aware Any Image Restoration
Reconstructing missing details from degraded low-quality inputs poses a significant challenge. Recent progress in image restoration has demonstrated the efficacy of learning large models capable of addressing various deg…
5-Degradation Blind All-in-One Image RestorationBlind All-in-One Image RestorationComputational EfficiencyImage Restoration