A list of resources for reference-based super-resolution, inspired by Awesome-deep-vision, Awesome Computer Vision and Awesome-Super-Resolution
By Hafiz Mughees Ahmad (if you have any suggestions, please contact me at ahmad54@uwindsor.ca)
[1] CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping - ECCV 2018 [link] - [github]
[2] A Dual Camera System for High Spatiotemporal Resolution Video Acquisition," TPAMI 2020 [link] - [github]
[3] CrossNet++: Cross-scale Large-parallax Warping for Reference-based Super-resolution TPAMI 2020 [link]
[4] Feature Representation Matters: End-to-End Learning for Reference-Based Image Super-Resolution ECCV 2020.[link]
[5] Learning Cross-scale Correspondence and Patch-based Synthesis for Reference-based Super-Resolution BMVC [link]
[6] RRSGAN: Reference-Based Super-Resolution for Remote Sensing Image ITGRS 2020 [link]
[7] Cross-scale reference-based light field super-resolution [link]
[8] Anchored Neighborhood Regression for Fast Example-Based Super-Resolution (ICCV2013) [link]
[9] Image Super-Resolution by Neural Texture Transfer (CVPR 2019) [link] [tensorflow] [pytorch]
[10] Multiscale gigapixel video: A cross resolution image matching and warping approach (ICCP2017) [link]
[11] Patch Match Improving resolution and depth-of-field of light field cameras using a hybrid imaging system (ICCP 2014) [link]