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Deep Unsupervised Learning using Nonequilibrium Thermodynamics (2015)
[paper] -
Denoising Diffusion Probabilistic Models (2020)
[paper] -
Improved Denoising Diffusion Probabilistic Models (2021)
[paper] [github] -
Diffusion Models Beat GANs on Image Synthesis (2021)
[paper] [github] -
Classifier-Free Diffusion Guidance (2022)
[paper] -
Elucidating the Design Space of Diffusion-Based Generative Models (2022)
[paper] [github] -
High-Resolution Image Synthesis with Latent Diffusion Models (2021) [paper] [github 1] [github2] [project]
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Generative Modeling by Estimating Gradients of the Data Distribution (2019)
[paper] [github] -
Improved Techniques for Training Score-Based Generative Models (2020)
[paper] [github] -
Score-Based Generative Modeling through Stochastic Differential Equations (2020)
[paper] [github]
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Denoising Diffusion Implicit Models (2020)
[paper] -
Progressive Distillation for Fast Sampling of Diffusion Models (2022)
[paper] -
On Distillation of Guided Diffusion Models (2022)
[paper]
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Image Super-Resolution via Iterative Refinement (2021)
[paper] [project] -
Cascaded Diffusion Models for High Fidelity Image Generation (2021)
[paper] [project]
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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models (2021)
[paper] -
Hierarchical Text-Conditional Image Generation with CLIP Latents (2022) [paper] [project]
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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (2022)
[paper] [project]