Runyan Tan

Improving Sample Diversity in Autoregressive Text-to-Image Generation via Cluster Truncation

Trang Nguyen, Shuang Wu, Runyan Tan, Phillip Howard

While diffusion models achieve state-of-the-art image quality for text-to-image (T2I) generation, recent work has demonstrated that they suffer from sample diversity collapse. In this work, we investigate whether autoregressive (AR) image generation models can push the Pareto fro…Read more