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)

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