Release the weight for the 4x DATGAN

Hello! I recently trained the weight of DATGAN. This is based on DAT (ICCV2023). Though they didn't provide GAN training, I used my own GAN model training code. The model size is the small model provided by them, which is 11.21M params. Thanks!

Release the weight for 4x RRDB architecture

Hello! We have retrained the model with the same hyperparameter setting for RRDB-6B (Which is the same structure as Real-ESRGAN Anime6B). In the future, when we have more time, we will tune more to the perpetual loss-related hyperparameter. More information will be found in the model zoo.

So why RRDB? This is because I can directly use my FAST inference codebase without modifying the code too much (lol).

Update: We have cleaned the 4x_APISR_RRDB_GAN_generator weight to have less weight size. Thanks!

Thanks!

APISR v0.1.0 Release

The major update: 🎉
We released the weight used in the paper for 4x SR with GRL GAN network.
Also, we have trained a 2x RRDB (6 blocks) GAN network.
More weights for different will be included soon.
Thanks!