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Recently, diffusion model have demonstrated impressive image generation performances, and have been extensively studied in various computer vision tasks.
Numerical analysis
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Denoising diffusion probabilistic models
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Improved techniques for training score-based generative models
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High-resolution image synthesis with latent diffusion models
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Image super-resolution via iterative refinement
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Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2
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Score-based generative modeling in latent space
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Tackling the generative learning trilemma with denoising diffusion gans
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Gotta go fast when generating data with score-based models
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Diffusionclip: Text-guided image manipulation using diffusion models
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Infinitygan: Towards infinite-resolution image synthesis
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SDEdit: Image synthesis and editing with stochastic differential equations
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
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Improved denoising diffusion probabilistic models
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Blended diffusion for text-driven editing of natural images
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Pseudo numerical methods for diffusion models on manifolds
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Arbitrary-scale image synthesis
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