Results 1 to 10 of about 18,616,519 (314)
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis [PDF]
International Conference on Learning Representations, 2023 Diffusion models achieved great success in image synthesis, but still face challenges in high-resolution generation. Through the lens of discrete cosine transformation, we find the main reason is that \emph{the same noise level on a higher resolution ...
Jiayan Teng +6 more
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High-Resolution Image Synthesis with Latent Diffusion Models [PDF]
Computer Vision and Pattern Recognition, 2021 By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond. Additionally, their formulation allows for a guiding mechanism
Robin Rombach +4 more
semanticscholar +1 more source
Accelerating Diffusion Models via Early Stop of the Diffusion Process [PDF]
arXiv.org, 2022 Denoising Diffusion Probabilistic Models (DDPMs) have achieved impressive performance on various generation tasks. By modeling the reverse process of gradually diffusing the data distribution into a Gaussian distribution, generating a sample in DDPMs can
Zhaoyang Lyu +4 more
semanticscholar +1 more source
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion [PDF]
Robotics: Science and Systems, 2023 This paper introduces Diffusion Policy, a new way of generating robot behavior by representing a robot’s visuomotor policy as a conditional denoising diffusion process.
Cheng Chi +6 more
semanticscholar +1 more source
Protecting the Intellectual Property of Diffusion Models by the Watermark Diffusion Process
arXiv.org, 2023 Diffusion models have emerged as state-of-the-art deep generative architectures with the increasing demands for generation tasks. Training large diffusion models for good performance requires high resource costs, making them valuable intellectual ...
Sen Peng +3 more
semanticscholar +1 more source
RePaint: Inpainting using Denoising Diffusion Probabilistic Models [PDF]
Computer Vision and Pattern Recognition, 2022 Free-form inpainting is the task of adding new content to an image in the regions specified by an arbitrary binary mask. Most existing approaches train for a certain distribution of masks, which limits their generalization capabilities to unseen mask ...
Andreas Lugmayr +5 more
semanticscholar +1 more source
Diffusion Models in Vision: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Denoising diffusion models represent a recent emerging topic in computer vision, demonstrating remarkable results in the area of generative modeling. A diffusion model is a deep generative model that is based on two stages, a forward diffusion stage and ...
Florinel-Alin Croitoru +3 more
semanticscholar +1 more source
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation [PDF]
International Conference on Machine Learning, 2023 Recent advances in text-to-image generation with diffusion models present transformative capabilities in image quality. However, user controllability of the generated image, and fast adaptation to new tasks still remains an open challenge, currently ...
Omer Bar-Tal +3 more
semanticscholar +1 more source
Discretized Diffusion Processes [PDF]
Physical Review Letters, 2000 4 pages 5 figure, to be published in ...
Ciliberti S. +4 more
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On a symmetrization of diffusion processes [PDF]
Quantitative Finance, 2013 The latter author, together with collaborators, proposed a numerical scheme to calculate the price of barrier options. The scheme is based on a symmetrization of diffusion process. The present paper aims to give a mathematical credit to the use of the numerical scheme for Heston or SABR type stochastic volatility models.
Jiro Akahori, Yuri Imamura
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