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Denoising Diffusion Probabilistic Models (DDPMs) have garnered popularity for data generation across various domains.
Autoslim: Towards one-shot architecture search for channel numbers
Jiahui Yu and Thomas Huang · 1903
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Perception prioritized training of diffusion models
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Pseudo numerical methods for diffusion models on manifolds
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Diffusion models beat gans on image synthesis
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High-resolution image synthesis with latent diffusion models
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Progressive distillation for fast sampling of diffusion models
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Diffusion probabilistic model made slim, 2022
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ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers, 2023
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Generalization in diffusion models arises from geometry-adaptive harmonic representations, 2024
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