Results 11 to 20 of about 757,960 (318)
CoRR, 2023 Score-based diffusion models learn to reverse a stochastic differential equation that maps data to noise. However, for complex tasks, numerical error can compound and result in highly unnatural samples. Previous work mitigates this drift with thresholding, which projects to the natural data domain (such as pixel space for images) after each diffusion ...
Aaron Lou, Stefano Ermon
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Modelling Diffusion in Silicides
Le Journal de Physique Colloques, 1988 This paper outlines models for the redistribution of dopant during the incorporation of silicides in VLSI processes.
Moynagh, P., Brown, A., Rosser, P.
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Transactions of the International Society for Music Information Retrieval, 2020 Pitch-class distributions are of central relevance in music information retrieval, computational musicology and various other fields, such as music perception and cognition. However, despite their structure being closely related to the cognitively and musically relevant properties of a piece, many existing approaches treat pitch-class distributions as ...
Robert Lieck +2 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingBlind deblurring of optical remote sensing images has been a longstanding challenge. In recent years, many learning-based deblurring algorithms have been greatly developed.
Zhiyuan Li +4 more
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Physical Review E, 2008 We study here the random diffusion model. This is a continuum model for a conserved scalar density field $ϕ$ driven by diffusive dynamics. The interesting feature of the dynamics is that the {\it bare} diffusion coefficient $D$ is density dependent. In the simplest case $D=\bar{D}+D_{1}δϕ$ where $\bar{D}$ is the constant average diffusion constant.
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Diversified Image Inpainting With Transformers and Denoising Iterative Refinement
IEEE AccessImage inpainting is a long-standing key problem in the field of computer vision, which aims to fill the missing parts of an image with visually realistic and semantically appropriate content.
Shuzhen Xu +4 more
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Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023 Generative models such as Generative Adversarial Networks (GANs) and Variational Auto-Encoders (VAEs) are widely utilized to model the generative process of user interactions. However, these generative models suffer from intrinsic limitations such as the instability of GANs and the restricted representation ability of VAEs.
Wenjie Wang 0007 +5 more
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IEEE AccessBatik, a significant element of Indonesian cultural heritage, is renowned for its intricate patterns and profound philosophical meanings. While preserving traditional batik is crucial, the creation of modern patterns is equally encouraged to keep the art
Rahmatulloh Daffa Izzuddin Wahid +5 more
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