Purrception: Variational Flow Matching for Vector-Quantized Image Generation

Researchers introduce Purrception, a new variational flow matching approach for AI image generation that combines continuous transport dynamics with discrete supervision. The method demonstrates faster training convergence than existing baselines while achieving competitive quality scores on ImageNet-1k 256x256 generation tasks.