Diffusion Transformer
Concept
An architecture published in late 2022, relying on self-attention to form direct connections between different local parts of an image, mitigating U-Net's failure cases.
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Videos Mentioning Diffusion Transformer
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 6 - Model Training
Stanford Online
An architecture published in late 2022, relying on self-attention to form direct connections between different local parts of an image, mitigating U-Net's failure cases.
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 8 - Trending Topics
Stanford Online
An architecture that improved on U-Net by allowing distant image patches to interact directly via self-attention mechanisms, and injecting conditions using an adaptive layer norm framework.