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Scalable Diffusion Models with Transformers | DiT Explanation and Implementation
BDH, Post-Transformer AI Explained by Jan Chorowski | Continual Learning | Session with AI Circle
Stanford CS25: V5 I Transformers in Diffusion Models for Image Generation and Beyond
Diffusion Transformers with Representation Autoencoders (Oct 2025)
Diffusion Transformers (ViT, DiT, MMDiT)
Diffusion Transformer | Understanding Diffusion Transformers (DiT)
ReHyAt: Recurrent Hybrid Attention for Video Diffusion Transformers
Towards Precise Scaling Laws for Video Diffusion Transformers (CVPR2025)
Fixing the Biggest Flaw in Diffusion Transformers

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Last Updated: June 7, 2026

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Inside Diffusion Transformers

Ever wondered how AI turns a simple text prompt into a breathtaking masterpiece? In this deep-dive technical lecture,...