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Your Daily AI Research tl;dr — 2022–10–12 🧠
A podcast entirely generated by artificial intelligence and more diffusion research!
2 min readOct 12, 2022
Welcome to your official daily AI research tl;dr (often with code and news) for AI professionals where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating.
1️⃣ UNIFYING DIFFUSION MODELS’ LATENT SPACE, WITH APPLICATIONS TO CYCLEDIFFUSION AND GUIDANCE
This paper provides an alternative, Gaussian formulation of the latent space of various diffusion models, as well as an invertible DPM-Encoder that maps images into the latent space.
Link to the paper: https://arxiv.org/pdf/2210.05559.pdf
2️⃣ GENIE: Higher-Order Denoising Diffusion Solvers
Based on truncated Taylor methods, we derive a novel higher-order solver that significantly accelerates synthesis.
Link to the paper: https://arxiv.org/pdf/2210.05475.pdf
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