Ajay discusses the limitations of generating high-resolution images using traditional models, highlighting issues with computational speed and pixel coherence. By exploring MCMC sampling, he reveals a pathway to synthesize multiple pixels simultaneously, leading to the development of denoising diffusion probabilistic models. This innovative approach allows for a more effective image generation process, starting from pure noise and progressively refining the output.
