Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution

CVPR 2020 Gyumin Shim Jinsun Park In So Kweon

In this paper, we propose a novel and efficient reference feature extraction module referred to as the Similarity Search and Extraction Network (SSEN) for reference-based super-resolution (RefSR) tasks. The proposed module extracts aligned relevant features from a reference image to increase the performance over single image super-resolution (SISR) methods... (read more)

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