Guidance: a cheat code for diffusion models – Sander Dieleman - discu.eu

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DALL·E 2 https://openai.com/dall-e-2/ 649 comments
Imagen: Text-to-Image Diffusion Models https://imagen.research.google/ 264 comments
Bayes' theorem - Wikipedia https://en.wikipedia.org/wiki/Bayes%27_theorem 104 comments
[2105.05233] Diffusion Models Beat GANs on Image Synthesis https://arxiv.org/abs/2105.05233 64 comments
[2112.10741] GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models https://arxiv.org/abs/2112.10741 29 comments
The geometry of diffusion guidance – Sander Dieleman https://sander.ai/2023/08/28/geometry.html 3 comments
[1503.03585] Deep Unsupervised Learning using Nonequilibrium Thermodynamics https://arxiv.org/abs/1503.03585 2 comments
[1601.06759] Pixel Recurrent Neural Networks https://arxiv.org/abs/1601.06759 1 comment
Diffusion models are autoencoders – Sander Dieleman https://benanne.github.io/2022/01/31/diffusion.html 0 comments
[1809.11096] Large Scale GAN Training for High Fidelity Natural Image Synthesis https://arxiv.org/abs/1809.11096 0 comments
Diffusion language models – Sander Dieleman https://sander.ai/2023/01/09/diffusion-language.html 0 comments
Perspectives on diffusion – Sander Dieleman https://sander.ai/2023/07/20/perspectives.html 0 comments

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