Diffusion model — images from noise (3D)

About this app

Thousands of particles flow step by step from Gaussian noise into shapes: forward and reverse process, DDPM vs. DDIM and classifier-free guidance. An image panel shows the same in pixel space, coarse shape first and details last.

Subject: Neural networks

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