Diffusion-GAN: Training GANs with Diffusion · HackerPapers discussions

Diffusion-GAN: Training GANs with Diffusion — mentioned by godelski

Sat, 09 Aug 2025 22:31:25 GMT

Sure. This was the paper[0]. Here's a few more you might find these interesting. Google's Transformer GAN[1] (not a transformer at all resolutions). Diffusion-GAN[2] is a hybrid architecture. Remember that technically the GAN process can use any underlying architecture. Arguably you could say some of the training steps in LLMs are GANs. And I think this one is also interesting in a similar respect[3]. Before PWC went down, StyleSAN[4] was the SOTA on FFHQ, but IIRC this doesn't change the architecture so it should probably work on all the other architectures too (comes with compute costs, but…

Paper and discussion history. A mention is not an endorsement.

Diffusion-GAN: Training GANs with Diffusion — mentioned by z3c0

Thu, 22 Jun 2023 18:23:25 GMT

I'm not sure that's a valid statement on either count. There is plenty of work being done to bolster GANs with diffusion, in an attempt to take GANs where they couldn't before. Here's one such example: https://arxiv.org/abs/2206.02262 You might've been more correct to say that diffusion surpassed prior generative models, but the adversarial element doesn't even compare to diffusion at all. The adversarial element would be more accurately seen as a trade-off for standard RLHF/Human-in-the-Loop models. I will bet money that GANs bolstered with diffusion will far outperform a standalone…

Paper and discussion history. A mention is not an endorsement.