Diffusion models have been proven highly effective at generating high-quality images.
However, as these models grow larger, they require significantly more memory and suffer …

In the rapidly advancing field of image generation, Visual Auto-Regressive (VAR) modeling
has garnered considerable attention for its innovative next-scale prediction approach. This …

Mixture-of-experts-based (MoE-based) diffusion models have shown their scalability and
ability to generate high-quality images, making them a promising choice for efficient model …

Diffusion models have emerged as a powerful class of generative models, offering state-
ofthe-art performance across various domains such as image synthesis, audio generation …

Diffusion models have emerged as a powerful class of generative models, offering state-
ofthe-art performance across a wide range of applications in artificial intelligence. Rooted in …

Diffusion models have achieved exceptional results in image synthesis, yet their sequential
processing nature imposes significant computational demands and latency, posing …