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Zheyuan Wu
2025-10-16 15:52:48 -05:00
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# CSE5519 Advances in Computer Vision (Topic D: 2023: Image and Video Generation)
## Scalable Diffusion Models with Transformers
[link to paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Peebles_Scalable_Diffusion_Models_with_Transformers_ICCV_2023_paper.pdf)
Create a diffusion model with transformers.
Train conditional DiT models over latent patches replacing the U-Net.
> [!TIP]
>
> This paper provides a scalable way to integrate the conditional DiT models over latent patches, replacing the U-Net to improve the performance of image generation.
>
> I wonder how classifier-free guidance is used in training the DiT and if the model also has in-context learning ability, as other transformer models do.