Closed llmpass closed 2 months ago
Never mind, I found that your esrgan has 2 pretrained models...
Hi~ The 32.73dB you mentioned is the PSNR-oriented weight from ESRGAN, which not includes GAN training. Our reported RRDB+P denotes the RRDB+PatchGAN training.
Thank you for your reply. Do you use this PSNR-oriented model to start fine-tuning in your method?
Yes, as this is a common operation in GAN-based image SR training schemes. Performing PSNR-oriented training first and then introducing discriminator to start GAN training.
Hi,
I found that the metrics in ESRGAN (RRDB+P) are way better than what reported in Table 1 of your paper, why? For example, Set 5 psnr is 32.73db in ESRGAN, but only 30.67db in your paper.