1 code implementation • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022 • Tai An, Xin Zhang, Chunlei Huo, Bin Xue, Lingfeng Wang, Chunhong Pan
In addition, TR-MISR adopts an additional learnable embedding vector that fuses these vectors to restore the details to the greatest extent. TR-MISR has successfully applied the transformer to MISR tasks for the first time, notably reducing the difficulty of training the transformer by ignoring the spatial relations of image patches.
Ranked #1 on Multi-Frame Super-Resolution on PROBA-V