TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Image Super-Resolution	BSD100 - 4x upscaling	IA	PSNR	27.16	# 29
Image Super-Resolution	Set14 - 4x upscaling	IA	PSNR	27.88	# 34
Image Super-Resolution	Set5 - 4x upscaling	IA	PSNR	31.10	# 31

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Seven ways to improve example-based single image super resolution

CVPR 2016 • Radu Timofte • Rasmus Rothe • Luc van Gool

In this paper we present seven techniques that everybody should know to improve example-based single image super resolution (SR): 1) augmentation of data, 2) use of large dictionaries with efficient search structures, 3) cascading, 4) image self-similarities, 5) back projection refinement, 6) enhanced prediction by consistency check, and 7) context reasoning. We validate our seven techniques on standard SR benchmarks (i.e. Set5, Set14, B100) and methods (i.e. A+, SRCNN, ANR, Zeyde, Yang) and achieve substantial improvements.The techniques are widely applicable and require no changes or only minor adjustments of the SR methods... (read more)

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Ranked #29 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	IA	PSNR	27.16	# 29	Compare
Image Super-Resolution	Set14 - 4x upscaling	IA	PSNR	27.88	# 34	Compare
Image Super-Resolution	Set5 - 4x upscaling	IA	PSNR	31.10	# 31	Compare

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