Results 31 to 40 of about 29,508,989 (334)
Advances in Neural Information Processing Systems 35, 2022 Diffusion models are recent state-of-the-art methods for image generation and likelihood estimation. In this work, we generalize continuous-time diffusion models to arbitrary Riemannian manifolds and derive a variational framework for likelihood estimation.
Chin-Wei Huang +4 more
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Geochemistry, Geophysics, Geosystems, 2021 Magma decompression rate has profound impacts on volcanic eruption style as it determines the time available for most kinetic processes (e.g., volatile exsolution, crystal nucleation and growth) that influence the explosive‐effusive eruption transition ...
R. L. deGraffenried, T. Shea
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MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model [PDF]
Computer Vision and Pattern Recognition, 2023 This paper studies the human image animation task, which aims to generate a video of a certain reference iden-tity following a particular motion sequence.
Zhongcong Xu +7 more
semanticscholar +1 more source
CoRR, 2023 The availability and accessibility of diffusion models (DMs) have significantly increased in recent years, making them a popular tool for analyzing and predicting the spread of information, behaviors, or phenomena through a population. Particularly, text-to-image diffusion models (e.g., DALLE 2 and Latent Diffusion Models (LDMs) have gained significant
Yugeng Liu +4 more
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Geochemistry, Geophysics, Geosystems, 2020 The 24–27 December 2018 flank eruption at Mount Etna (Southern Italy) has been investigated through a multidisciplinary approach in which olivine chemical zoning and diffusion chronometry data were integrated with models inferred by GNSS (Global ...
Alfio Marco Borzi +4 more
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MotionDiffuse: Text-Driven Human Motion Generation With Diffusion Model [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Human motion modeling is important for many modern graphics applications, which typically require professional skills. In order to remove the skill barriers for laymen, recent motion generation methods can directly generate human motions conditioned on ...
Mingyuan Zhang +6 more
semanticscholar +1 more source
CoRR, 2023 Diffusion models have shown remarkable performance on many generative tasks. Despite recent success, most diffusion models are restricted in that they only allow linear transformation of the data distribution. In contrast, broader family of transformations can potentially help train generative distributions more efficiently, simplifying the reverse ...
Bartosh, Grigory +2 more
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Geochemistry, Geophysics, Geosystems, 2023 Despite its increasing application to estimate magma decompression rates for explosive eruptions, the embayment speedometer has long awaited critical experimental evaluation.
Behnaz Hosseini +3 more
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Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models [PDF]
International Conference on Machine Learning, 2023 Large-scale multimodal generative modeling has created milestones in text-to-image and text-to-video generation. Its application to audio still lags behind for two main reasons: the lack of large-scale datasets with high-quality text-audio pairs, and the
Rongjie Huang +9 more
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Diffusion in Cauchy Elastic Solid [PDF]
, 2022 It is commonly accepted that a starting point of the science of diffusion is the phenomenological diffusion equation postulated by German physiologist Adolf Fick inspired by experiments on diffusion by Thomas Graham and Robert Brown.
Danielewski, Marek, Sapa, Lucjan
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