LAFITE: Towards Language-Free Training for Text-to-Image Generation · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2111.13792/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTLAFITE: Towards Language-Free Training for Text-to-Image Generation — mentioned by godelskihttps://news.ycombinator.com/item?id=38648783urn:hackerpapers:mention:2111.13792:38648783Thu, 14 Dec 2023 23:17:04 GMT<p>Sorry, I left too much knowledge for inference. I presumed it was safe to let users infer that a 2018 (StyleGAN) or 2019 (StyleGAN2) model was not going to compete with performance of a 2023 model, regardless of architecture. There has in fact been improvements in GANs in the last 5 years. Text conditioning is not unique to diffusion and is rather a subnetwork for conditioning (actually StyleGAN&#x27;s whole innovation was creating a subnetwork for conditioning synthesis) There are definitely modern GANs that are T2I and computationally cheaper than a latent diffusion model for a comparable…</p><p><a href="https://hackerpaper.kaipfister.de/p/2111.13792/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CV