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JPEG Artifact Removal

Papers

Showing 1–20 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 Loss—0
Diffusion Image Prior—0
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal—0
Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration—0
Hierarchical Information Flow for Generalized Efficient Image Restoration—0
JPEG Quantized Coefficient Recovery via DCT Domain Spatial-Frequential Transformer—0
Lightweight Adaptive Feature De-drifting for Compressed Image Classification—0
Residual learning based densely connected deep dilated network for joint deblocking and super resolution—0
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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