Upscale Model Databasehttps://upscale.wiki/wiki/Model_Database
A list of custom ESRGAN models.
Enhanced SRGAN (ESRGAN) is an improvement of the Super-Resolution Generative Adversarial Network (SR-GAN) that is capable of generating realistic textures during single image super-resolution. ESRGAN improves three key components of SRGAN, including network architecture, adversarial loss, and perceptual loss, to enhance the visual quality of images. ESRGAN introduces the Residual-in-Residual Dense Block (RRDB) without batch normalization as the basic network building unit, borrows the idea from relativistic GAN to let the discriminator predict relative realness, and improves the perceptual loss by using the features before activation for stronger supervision. ESRGAN achieves better visual quality with more realistic and natural textures than SRGAN, winning the first place in the PIRM2018-SR Challenge.