Denoising Diffusion Models
Ajay discusses the groundbreaking denoising diffusion probabilistic models (DDPM) and their pivotal role in the evolution of generative models, particularly in image synthesis. He shares insights from his research journey, highlighting the challenges faced with earlier methods and the potential of DDPM to enhance flexibility and resolution in visual generative media. The conversation also connects DDPM to popular applications like stable diffusion and mid-journey, illustrating its impact on modern AI advancements.In this clip
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Related Questions
How does the development of language models like GPT-2 compare to advancements in GANs, based on the episode Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 and the clip Surprising Success of GPT-2?
How does the development of language models like GPT-2 compare to advancements in GANs as discussed in the episode Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 and the clip Surprising Success of GPT-2?