Kaiming He's All-Undergrad Team Achieves Text-to-Image With Only 258M Parameters
量子位 QbitAI·39 days ago·Paper
A new research paper from Kaiming He's lab — notable for having an all-undergraduate team — demonstrates that high-quality text-to-image generation can be achieved with just 258 million parameters. This challenges the prevailing assumption that competitive image synthesis requires multi-billion-parameter models. The work signals a push toward leaner, more accessible generative vision architectures.
