All the articles with the tag "transformers".
The evolution of image diffusion models from U-Net architectures to Diffusion Transformers (DiT). Covers latent diffusion, the DiT revolution, and the complete image generation pipeline.
Why video is harder than images, the DiT revolution for video, and how diffusion models learn temporal consistency. Covers V-DiT, AsymmDiT, and the mathematical foundations of video generation.
An intuitive introduction to the Transformer architecture — from the attention mechanism to self-attention and cross-attention, using language translation as a concrete example.