Diffusion Transformers and Multi-Modal Visual Generation:...

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2026-09-17 07:52:57 -

Diffusion Transformers and Multi-Modal Visual Generation: Architectures, Scalability, and Cross-Attention Mechanics

1. The Paradigm Shift from Convolutional U-Nets to Diffusion Transformers The field of generative visual computing has witnessed an architectural transformation with the transition from legacy convolutional U-Nets toward Diffusion Transformers (DiTs). For years, inductive convolutional biases were considered essential for capturing spatial hierarchies and local pixel correlations. However, as...

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