Detail-revealing Deep Video Super-resolution

Previous CNN-based video super-resolution approaches need to align multiple frames to the reference. In this paper, we show that proper frame alignment and motion compensation is crucial for achieving high quality results... (read more)

PDF Abstract ICCV 2017 PDF ICCV 2017 Abstract

Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image Super-Resolution Set14 - 4x upscaling SPMC PSNR 27.57 # 43
SSIM 0.76 # 40
Image Super-Resolution Set5 - 4x upscaling SPMC PSNR 30.96 # 34
SSIM 0.87 # 37
Video Super-Resolution Vid4 - 4x upscaling DRDVSR PSNR 25.88 # 10
SSIM 0.774 # 7

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet