chenxwh / real-esrgan

Real-ESRGAN: Real-World Blind Super-Resolution

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Run time and cost

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 5 seconds. The predict time for this model varies significantly based on the inputs.


Original implementation:


PyTorch implementation of a Real-ESRGAN model trained on custom dataset. This model shows better results on faces compared to the original version. It is also easier to integrate this model into your projects.

This is not an official implementation. We partially use code from the original repository

Real-ESRGAN is an upgraded ESRGAN trained with pure synthetic data is capable of enhancing details while removing annoying artifacts for common real-world images.