Eliminating Vector Quantization: Diffusion-Primarily based Autoregressive AI Fashions for Picture Era
Autoregressive picture technology fashions have historically relied on vector-quantized representations, which introduce a number of important challenges. The method of vector quantization is computationally intensive and infrequently ends in suboptimal picture reconstruction high quality. This reliance limits the fashions’ flexibility and effectivity, making it troublesome to precisely seize the advanced distributions of steady picture information….
