STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation

Apple Machine Learning Research · 1 month ago · 44

STARFlow2 proposes a unified multimodal generation approach that connects language-model-style autoregression with normalizing flows to reduce fragmentation across text–image generation methods. STARFlow2 is presented as a version “2” that treats autoregressive normalizing flows as autoregressive Transformers using the same left-to-right structure as LLMs. This shifts generation toward a single, Transformer-aligned framework rather than using discrete tokenization, asymmetric text-vs-image pipelines, or adaptation that can harm pretrained understanding.