Can we generate a training dataset of the same object in different contexts for customization? Check out our work SynCD, which uses Objaverse assets and shared attention in text-to-image models for the same. cs.cmu.edu/~syncd-project/ w/ Xi Yin Jun-Yan Zhu Ishan Misra Samaneh Azadi

Amazing interview with Yang Song, one of the key researchers we have to thank for diffusion models. The most important lesson IMO: be fearless! The community's view on score matching was quite pessimistic at the time -- he went against the grain and got it to work at scale!

We REALLY REALLY need a "Findings" for NeurIPS, ICLR, and ICML. 25,000 submissions at this year's NeurIPS represents extreme excess pressure. It takes valuable time away from legitimate new research. One question is how to administer it. I suggest that Findings go through a

🎬 Finally got time to go through the "Video Models Are Zero-Shot Learners and Reasoners" paper. The impressive results aside, I want to thank the GDM team for compiling / sharing a wide range of visual tasks, likely to become a key benchmark in the coming years! This paper also

Generating an image from 1,000 words. Very excited to release Fibo 😃, the first ever open-source model trained exclusively on long, structured captions. Fibo sets a new standard for controllability and disentanglement in image generation [1/6] 🧵