Potential Enhancement for StyleGAN2 ADA: Image Squeeze Connections

[FirestName]

Stumbled upon a recentish research paper titled "Rethinking Image Skip Connections in StyleGAN2" (https://arxiv.org/abs/2407.05527). The paper presents a novel(?) "image squeeze connection" method that apparently enhances the performance of StyleGAN2 ADA.

The authors propose this new connection method as a more mathematically principled alternative to traditional image skip connections.

Improved Image Quality: The paper reports achieving better FID scores and enhanced perceptual quality on various datasets.
Reduced Model Complexity: The proposed method is suggested to reduce the number of parameters required.
Increased Training Stability: A stronger theoretical foundation is reported to contribute to more stable and predictable training dynamics.

"Furthermore, due
to its simplicity, the proposed method can be easily applied to
existing baseline models."

Figured this might be of an interest.

Sincerely,
Firest Nme

[nuclearsugar]

I don't think they released their forked code repository. Too bad. Can you find it?