The Paper That Invented Modern AI Art

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Day 6 of 100 Days of Research Papers.

Today we are breaking down "Denoising Diffusion Probabilistic Models" (2020), the study that gave birth to the modern AI image generation wave.

Before this paper, generating images relied on competitive GAN architectures that were prone to crashing and repetition. This paper introduced denoising diffusion, changing the trajectory of technology forever.

Why it matters: It teaches AI to generate masterpieces by starting with pure random noise and gradually reversing the chaos—a breakthrough that took over Midjourney, DALL-E, and Stable Diffusion in 18 months.

The Authors: Jonathan Ho, Ajay Jain, Pieter Abbeel

arXiv: 2006.11239

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Video by: Sachin Hiriyanna

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