TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Image Super-Resolution	BSD100 - 4x upscaling	RDN	PSNR	27.72	# 13
Image Super-Resolution	BSD100 - 4x upscaling	RDN	SSIM	0.7419	# 17
Color Image Denoising	CBSD68 sigma50	Residual Dense Network +	PSNR	28.34	# 1
Image Super-Resolution	Manga109 - 4x upscaling	RDN	PSNR	31.00	# 15
Image Super-Resolution	Manga109 - 4x upscaling	RDN	SSIM	0.9151	# 13
Image Super-Resolution	Set14 - 4x upscaling	RDN	PSNR	28.81	# 15
Image Super-Resolution	Set14 - 4x upscaling	RDN	SSIM	0.7871	# 18
Image Super-Resolution	Set5 - 4x upscaling	RDN	PSNR	32.47	# 14
Image Super-Resolution	Set5 - 4x upscaling	RDN	SSIM	0.8990	# 15
Image Super-Resolution	Urban100 - 4x upscaling	RDN	PSNR	26.61	# 15
Image Super-Resolution	Urban100 - 4x upscaling	RDN	SSIM	0.8028	# 14

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Residual Dense Network for Image Super-Resolution

CVPR 2018 • Yulun Zhang • Yapeng Tian • Yu Kong • Bineng Zhong • Yun Fu

A very deep convolutional neural network (CNN) has recently achieved great success for image super-resolution (SR) and offered hierarchical features as well. However, most deep CNN based SR models do not make full use of the hierarchical features from the original low-resolution (LR) images, thereby achieving relatively-low performance... (read more)

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Code

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yulunzhang/RDN official

417

idealo/image-super-resolution

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proteus1991/GridDehazeNet

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puffnjackie/pytorch-super-resolution-implementations

jqueguiner/super-resolution

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COLOR IMAGE DENOISING

IMAGE SUPER-RESOLUTION

SUPER-RESOLUTION

Datasets

BSD

Set14

Set5

Urban100

Manga109 CBSD68

Results from the Paper

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Ranked #1 on Color Image Denoising on CBSD68 sigma50

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	BENCHMARK
Image Super-Resolution	BSD100 - 4x upscaling	RDN	PSNR	27.72	# 13	Compare
Image Super-Resolution	BSD100 - 4x upscaling	RDN	SSIM	0.7419	# 17	Compare
Color Image Denoising	CBSD68 sigma50	Residual Dense Network +	PSNR	28.34	# 1	Compare
Image Super-Resolution	Manga109 - 4x upscaling	RDN	PSNR	31.00	# 15	Compare
Image Super-Resolution	Manga109 - 4x upscaling	RDN	SSIM	0.9151	# 13	Compare
Image Super-Resolution	Set14 - 4x upscaling	RDN	PSNR	28.81	# 15	Compare
Image Super-Resolution	Set14 - 4x upscaling	RDN	SSIM	0.7871	# 18	Compare
Image Super-Resolution	Set5 - 4x upscaling	RDN	PSNR	32.47	# 14	Compare
Image Super-Resolution	Set5 - 4x upscaling	RDN	SSIM	0.8990	# 15	Compare
Image Super-Resolution	Urban100 - 4x upscaling	RDN	PSNR	26.61	# 15	Compare
Image Super-Resolution	Urban100 - 4x upscaling	RDN	SSIM	0.8028	# 14	Compare

Methods used in the Paper

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METHOD	TYPE
Convolution	Convolutions
Concatenated Skip Connection	Skip Connections
Batch Normalization	Normalization
ReLU	Activation Functions
Dense Block	Image Model Blocks

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