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TWIML · May 15, 2025 · 50m
Diffusion Models: Beyond Image Generation
How diffusion models are being applied beyond image generation: video, 3D modeling, protein design, and audio synthesis.
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Canon
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Diffusion models succeed in environments with continuous, structured data (images, audio, 3D shapes) and struggle in environments with discrete, sequential data (text, code). The data environment determines which architecture works.
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Charrington traces the biographical arc of generative model architectures, showing how each generation solved the previous generation's problems while introducing new limitations.
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