diff-usion/Awesome-Diffusion-Models

Organizes peer-reviewed papers and tutorials across diverse diffusion model applications—vision (generation, segmentation, medical imaging), audio (synthesis, enhancement, TTS), NLP, time-series forecasting, molecular generation, and reinforcement learning. Curates foundational resources including mathematical explanations, video lectures, and runnable Jupyter notebooks that bridge theory to implementation. Structured taxonomy enables researchers to locate domain-specific papers and learning materials across the rapidly expanding diffusion literature.

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