Real-ESRGAN: Real-World Blind Super-Resolution

Run time and cost

Predictions run on Nvidia T4 GPU hardware. Predictions typically complete within 11 seconds. The predict time for this model varies significantly based on the inputs.

Original implementation: https://github.com/ai-forever/Real-ESRGAN


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.