Diffusion & generative vision

Trace generative vision from the denoising-diffusion idea through latent diffusion, transformer backbones, and the rectified-flow models behind today’s image generators.

• Auto-Encoding Variational Bayes
• Denoising Diffusion Probabilistic Models
• Consistency Models
• Generative Adversarial Networks
• High-Resolution Image Synthesis with Latent Diffusion Models
• Scalable Diffusion Models with Transformers
• Flow Matching for Generative Modeling
• Scaling Rectified Flow Transformers for High-Resolution Image Synthesis