Elucidating the Design Space of Diffusion-Based Generative Models
Paper
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2206.00364
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Published
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13
Collection of papers that I find important for diffusion models
Note a.k.a Karras et al 2020. Talks about the samplers Euler. Also the base for k-diffusion by Katherine Crowson. https://github.com/crowsonkb/k-diffusion
Note A generalized math based approach to diffusion models. Includes SDE, ODE and Flow matching perspectives.
Note Introduces cfg, letting images be conditioned on text prompts
Note Introduces LDM. Basically diffusion in latent space.