DiMoSR, a lightweight super-resolution network using multi-branch dilated convolutions and feature modulation, reports state-of-the-art PSNR/SSIM on four benchmark datasets at x4 upscaling.
Swift parameter-free attention network for efficient super- resolution
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DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution
DiMoSR, a lightweight super-resolution network using multi-branch dilated convolutions and feature modulation, reports state-of-the-art PSNR/SSIM on four benchmark datasets at x4 upscaling.