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JPEG Artifact Removal

Papers

Showing 120 of 20 papers

TitleStatusHype
Controlling Vision-Language Models for Multi-Task Image RestorationCode2
Compression-Aware One-Step Diffusion Model for JPEG Artifact RemovalCode2
Are Deep Neural Architectures Losing Information? Invertibility Is IndispensableCode1
Hypernetwork-Based Adaptive Image RestorationCode1
Restore Anything Pipeline: Segment Anything Meets Image RestorationCode1
Removing Image Artifacts From Scratched Lens ProtectorsCode1
JDEC: JPEG Decoding via Enhanced Continuous Cosine CoefficientsCode1
Bidirectional Consistency ModelsCode1
Towards Flexible Blind JPEG Artifacts RemovalCode1
Training a Task-Specific Image Reconstruction Loss0
Diffusion Image Prior0
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal0
Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration0
Hierarchical Information Flow for Generalized Efficient Image Restoration0
JPEG Quantized Coefficient Recovery via DCT Domain Spatial-Frequential Transformer0
Lightweight Adaptive Feature De-drifting for Compressed Image Classification0
Residual learning based densely connected deep dilated network for joint deblocking and super resolution0
Projected Distribution Loss for Image EnhancementCode0
Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch NetworkCode0
DriftRec: Adapting diffusion models to blind JPEG restorationCode0
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