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by WhiteNoiz3 442 days ago
I haven't see any details on how OpenAI's model works, but the tokens it generates aren't directly translated into pixels - those tokens are probably fed into a diffusion process which generates the actual image.. The tokens are the latent space or conditioning for the actual image generation process.
1 comments

> I haven't see any details on how OpenAI's model works

Exactly. People just confidently make things up. There are many possible ways, and without details, "native generation" is just a marketing buzzword without clear definition. It's a proprietary system, there is no code release, there is no publication. We simply don't know how exactly it's done.

Open AI have both said it's native image generation and autoregressive. It has the signs of it too.

It's probably an implementation of VAR (https://arxiv.org/abs/2404.02905) - autoregressive image generation with a small twist. Rather than predict every token at the target resolution directly, start with predicting it at a small resolution, cranking it higher and higher until the desired resolution.