diffusion

Definition

A generative approach that learns to reverse a gradual noising process: start from noise and denoise step by step until a sample emerges. Splitting generation into many small, individually easy steps makes training unusually stable, which is why diffusion dominates image, video, and audio synthesis. The cost is iterative sampling — many forward passes per sample — motivating extensive work on step reduction and distilled samplers.

Explainers using this term

• Paper Deep Dive: Mask Forcing — Fixing Autoregressive Video Diffusion Distillation with a Dual-Noise MaskMask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout
• Paper Walkthrough: Marigold V2 — Turning an Image Editor Into a State-of-the-Art Depth Estimator on One 32GB GPUMarigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation
• Build Your Own Diffusion Model — Starting from MNISTDenoising Diffusion Probabilistic Models