Jpeg Artifact Correction On Live1 Quality 10 1

Metrics

PSNR

SSIM

Results

Performance results of various models on this benchmark

			Paper Title
Hi-IR	29.94	0.8359	Hierarchical Information Flow for Generalized Efficient Image Restoration
FBCNN	29.75	0.827	Towards Flexible Blind JPEG Artifacts Removal
IDCN	29.71	0.838	Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction
Residual Dense Network +	29.7	0.8252	Residual Dense Network for Image Restoration
MWCNN	29.69	0.8357	Multi-level Wavelet-CNN for Image Restoration
QGAC	29.53	0.840	Quantization Guided JPEG Artifact Correction
MemNet	29.45	0.8327	MemNet: A Persistent Memory Network for Image Restoration
S-Net	29.44	0.8325	S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction
DPW-SDNet	29.40	0.8235	DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images
RED30	29.35	-	Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
DnCNN-3	29.19	-	Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
ARCNN	29.11	0.8235	Compression Artifacts Reduction by a Deep Convolutional Network
HyperRes	28.81	0.82	Hypernetwork-Based Adaptive Image Restoration

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Jpeg Artifact Correction On Live1 Quality 10 1 | SOTA | HyperAI