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@@ -2547,7 +2547,7 @@ Note that nearly all the MISR publications resulted from the [PROBA-V Super Reso
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-[DDRN](https://github.com/kuijiang94/DDRN) -> Deep Distillation Recursive Network for Video Satellite Imagery Super-Resolution
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-[worldstrat](https://github.com/worldstrat/worldstrat) -> SISR and MISR implementations of SRCNN
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-[worldstrat](https://github.com/worldstrat/worldstrat) -> SISR and MISR implementations of SRCNN
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-[MISR-GRU](https://github.com/rarefin/MISR-GRU) -> Pytorch implementation of MISR-GRU, a deep neural network for multi image super-resolution (MISR), for ProbaV Super Resolution Competition
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-[SGDM](https://github.com/wwangcece/SGDM) -> Semantic Guided Large Scale Factor Remote Sensing Image Super-resolution with Generative Diffusion Prior
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-[SEN2SR](https://github.com/ESAOpenSR/SEN2SR) -> A Python package to super-resolve Sentinel-2 satellite imagery up to 2.5 meters.
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-[Latent-Diffusion Super-Resolution: Sentinel-2](https://github.com/ESAOpenSR/opensr-model) -> Latent diffusion model to SR RGB-NIR of Sentinel-2 by a factor of 4. Features Interactive Colab demo, run the model on your own coordinates immediately. Can be used together with [SEN2SR](https://github.com/ESAOpenSR/SEN2SR) to SR all 10 & 20m bands of S2 to 2.5m.
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