Learning Parallax Attention for Stereo Image Super-Resolution

Stereo image pairs can be used to improve the performance of super-resolution (SR) since additional information is provided from a second viewpoint. However, it is challenging to incorporate this information for SR since disparities between stereo images vary significantly... (read more)

PDF Abstract CVPR 2019 PDF CVPR 2019 Abstract

Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image Super-Resolution KITTI 2012 - 2x upscaling PASSRnet PSNR 30.65 # 1
Image Super-Resolution KITTI 2012 - 4x upscaling PASSRnet PSNR 26.26 # 1
Image Super-Resolution KITTI 2015 - 2x upscaling PASSRnet PSNR 29.78 # 1
Image Super-Resolution KITTI 2015 - 4x upscaling PASSRnet PSNR 25.43 # 1
Image Super-Resolution Middlebury - 2x upscaling PASSRnet PSNR 34.05 # 1
Image Super-Resolution Middlebury - 4x upscaling PASSRnet PSNR 28.63 # 1

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