TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Image Super-Resolution	BSD100 - 4x upscaling	SFT-GAN	PSNR	25.33	# 38
Image Super-Resolution	BSD100 - 4x upscaling	SFT-GAN	SSIM	0.651	# 41
Image Super-Resolution	Set14 - 4x upscaling	SFT-GAN	PSNR	26.13	# 49
Image Super-Resolution	Set14 - 4x upscaling	SFT-GAN	SSIM	0.694	# 47
Image Super-Resolution	Set5 - 4x upscaling	SFT-GAN	PSNR	29.82	# 43
Image Super-Resolution	Set5 - 4x upscaling	SFT-GAN	SSIM	0.840	# 42

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Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

CVPR 2018 • Xintao Wang • Ke Yu • Chao Dong • Chen Change Loy

Despite that convolutional neural networks (CNN) have recently demonstrated high-quality reconstruction for single-image super-resolution (SR), recovering natural and realistic texture remains a challenging problem. In this paper, we show that it is possible to recover textures faithful to semantic classes... (read more)

PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract

Code

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xinntao/BasicSR

1,739

Tasks

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IMAGE SUPER-RESOLUTION

SEMANTIC SEGMENTATION

SUPER-RESOLUTION

Datasets

Introduced in the Paper:

OST300

Mentioned in the Paper:

COCO

ADE20K

BSD

Set14

Set5

Results from the Paper

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Ranked #38 on Image Super-Resolution on BSD100 - 4x upscaling

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	BENCHMARK
Image Super-Resolution	BSD100 - 4x upscaling	SFT-GAN	PSNR	25.33	# 38	Compare
Image Super-Resolution	BSD100 - 4x upscaling	SFT-GAN	SSIM	0.651	# 41	Compare
Image Super-Resolution	Set14 - 4x upscaling	SFT-GAN	PSNR	26.13	# 49	Compare
Image Super-Resolution	Set14 - 4x upscaling	SFT-GAN	SSIM	0.694	# 47	Compare
Image Super-Resolution	Set5 - 4x upscaling	SFT-GAN	PSNR	29.82	# 43	Compare
Image Super-Resolution	Set5 - 4x upscaling	SFT-GAN	SSIM	0.840	# 42	Compare

Methods used in the Paper

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METHOD	TYPE
Dropout	Regularization
Softmax	Output Functions
Max Pooling	Pooling Operations
PReLU	Activation Functions
Sigmoid Activation	Activation Functions
ReLU	Activation Functions
VGG	Convolutional Neural Networks
Residual Block	Skip Connection Blocks
Dense Connections	Feedforward Networks
Residual Connection	Skip Connections
Convolution	Convolutions
Leaky ReLU	Activation Functions
PixelShuffle	Miscellaneous Components
Batch Normalization	Normalization
VGG Loss	Loss Functions
SRGAN Residual Block	Skip Connection Blocks
SRGAN	Generative Adversarial Networks

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