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Datasets/REDS

REDS

REalistic and Diverse Scenes dataset realistic and dynamic scenes

ImagesVideos

The realistic and dynamic scenes (REDS) dataset was proposed in the NTIRE19 Challenge. The dataset is composed of 300 video sequences with resolution of 720×1,280, and each video has 100 frames, where the training set, the validation set and the testing set have 240, 30 and 30 videos, respectively

Source: Video Super Resolution Based on Deep Learning: A comprehensive survey Image Source: https://seungjunnah.github.io/Datasets/reds.html

Benchmarks

10-shot image generation/Average PSNR2D Classification/Average PSNRBlind Image Deblurring/Average PSNRDeblurring/Average PSNR

Related Benchmarks

REDS4- 4x upscaling/1 Image, 2*2 Stitchi/PSNRREDS4- 4x upscaling/1 Image, 2*2 Stitchi/SSIMREDS4- 4x upscaling/2D Human Pose Estimation/PSNRREDS4- 4x upscaling/2D Human Pose Estimation/SSIMREDS4- 4x upscaling/3D/PSNRREDS4- 4x upscaling/3D/SSIMREDS4- 4x upscaling/3D Absolute Human Pose Estimation/PSNRREDS4- 4x upscaling/3D Absolute Human Pose Estimation/SSIMREDS4- 4x upscaling/3D Face Animation/PSNRREDS4- 4x upscaling/3D Face Animation/SSIMREDS4- 4x upscaling/3D Human Pose Estimation/PSNRREDS4- 4x upscaling/3D Human Pose Estimation/SSIMREDS4- 4x upscaling/3D Object Super-Resolution/PSNRREDS4- 4x upscaling/3D Object Super-Resolution/SSIMREDS4- 4x upscaling/Pose Estimation/PSNRREDS4- 4x upscaling/Pose Estimation/SSIMREDS4- 4x upscaling/Super-Resolution/PSNRREDS4- 4x upscaling/Super-Resolution/SSIMREDS4- 4x upscaling/Video/PSNRREDS4- 4x upscaling/Video/SSIMREDS4- 4x upscaling/Video Super-Resolution/PSNRREDS4- 4x upscaling/Video Super-Resolution/SSIM

Statistics

Papers
15
Benchmarks
4

Links

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Tasks

10-shot image generation2D ClassificationBlind Image DeblurringDeblurringJoint Demosaicing and Denoising