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Diffusion Transformer | Understanding Diffusion Transformers (DiT)
KDD 2026-Revisiting Redundancy in Diffusion Transformers: A Temporal-Spatial Joint Caching Strategy
[CVPR'26 Highlight] Region-Adaptive Latent Upsampling (RALU)
Diffusion Transformers with Representation Autoencoders (Paper Walkthrough)
[DLMath&Efficiency] Shikang Zheng - Hybrid Feature Caching for Diffusion Transformers
Expert Race: Diffusion Transformers Just Got A Lot More Interesting
Diffusion in Transformers Tutorial and Explainer
ReHyAt: Recurrent Hybrid Attention for Video Diffusion Transformers
REPA Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ...
13x FASTER Video Generation - Sparse Linear Attention Diffusion Transformer
[CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers
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Last Updated: August 16, 2026
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![[CVPR'26 Highlight] Region-Adaptive Latent Upsampling (RALU)](https://i.ytimg.com/vi/IYrCOBTjwYs/mqdefault.jpg)
![[DLMath&Efficiency] Shikang Zheng - Hybrid Feature Caching for Diffusion Transformers](https://i.ytimg.com/vi/1s_hdH7XDXY/mqdefault.jpg)
![[CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers](https://i.ytimg.com/vi/01q-iudYWbo/mqdefault.jpg)
