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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
Towards Flexible Blind JPEG Artifacts RemovalCode1
Restore Anything Pipeline: Segment Anything Meets Image RestorationCode1
Bidirectional Consistency ModelsCode1
Removing Image Artifacts From Scratched Lens ProtectorsCode1
JDEC: JPEG Decoding via Enhanced Continuous Cosine CoefficientsCode1
Hypernetwork-Based Adaptive Image RestorationCode1
Are Deep Neural Architectures Losing Information? Invertibility Is IndispensableCode1
Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch NetworkCode0
DriftRec: Adapting diffusion models to blind JPEG restorationCode0
Projected Distribution Loss for Image EnhancementCode0
Lightweight Adaptive Feature De-drifting for Compressed Image Classification—0
Hierarchical Information Flow for Generalized Efficient Image Restoration—0
Training a Task-Specific Image Reconstruction Loss—0
Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration—0
Residual learning based densely connected deep dilated network for joint deblocking and super resolution—0
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal—0
Diffusion Image Prior—0
JPEG Quantized Coefficient Recovery via DCT Domain Spatial-Frequential Transformer—0
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