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Found 2 papers, 2 papers with code
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution
Firstly, instead of producing a single score to discriminate images between real and fake, we propose a variant, called Fine-grained Attention Generative Adversarial Network for image super-resolution (FASRGAN), to discriminate each pixel between real and fake.
Deformable Non-local Network for Video Super-Resolution
The video super-resolution (VSR) task aims to restore a high-resolution (HR) video frame by using its corresponding low-resolution (LR) frame and multiple neighboring frames.
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