Learning Texture Transformer Network for Image Super-Resolution

CVPR 2020 Fuzhi YangHuan YangJianlong FuHongtao LuBaining Guo

We study on image super-resolution (SR), which aims to recover realistic textures from a low-resolution (LR) image. Recent progress has been made by taking high-resolution images as references (Ref), so that relevant textures can be transferred to LR images... (read more)

PDF Abstract CVPR 2020 PDF CVPR 2020 Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper