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The Formation of Metal Hydrides on the Surface of Spherical Structures and the Numerical Evaluation of the Hydrogenation Process. [PDF]
Khalil Z, Kavaliauskas Ž.
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Diffusion Mechanism in Running-Water and CFD-DEM Numerical Simulation of Expandable Particulate Grouting Material. [PDF]
Zhang Z+7 more
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This paper is a summary of the flannel board presentation on how farm people accept new ideas. It is based on the findings of 35 research studies conducted during the past twenty years in various parts of the United States, including Illinois, Iowa, Missouri, Wisconsin, New Hampshire, New York, West Virginia, Kentucky, and Tennessee.1 The findings of ...
Beal, George M.+3 more
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Global Structure-Aware Diffusion Process for Low-Light Image Enhancement
Neural Information Processing Systems, 2023This paper studies a diffusion-based framework to address the low-light image enhancement problem. To harness the capabilities of diffusion models, we delve into this intricate process and advocate for the regularization of its inherent ODE-trajectory ...
Jinhui Hou+5 more
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Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
arXiv.org, 2023We present Stable Video Diffusion - a latent video diffusion model for high-resolution, state-of-the-art text-to-video and image-to-video generation. Recently, latent diffusion models trained for 2D image synthesis have been turned into generative video ...
A. Blattmann+5 more
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A Prognostic Model Based on DBN and Diffusion Process for Degrading Bearing
IEEE transactions on industrial electronics (1982. Print), 2020Remaining useful life (RUL) prediction is extremely significant to ensure the safe and reliable operation for bearing suffering from the deterioration. The main focus of the RUL prediction is to accurately predict the future failure event, and thus, how ...
Chang-Hua Hu+5 more
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Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model
arXiv.org, 2023We report Zero123++, an image-conditioned diffusion model for generating 3D-consistent multi-view images from a single input view. To take full advantage of pretrained 2D generative priors, we develop various conditioning and training schemes to minimize
Ruoxi Shi+8 more
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VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
Computer Vision and Pattern Recognition, 2023A diffusion probabilistic model (DPM), which constructs a forward diffusion process by gradually adding noise to data points and learns the reverse denoising process to generate new samples, has been shown to handle complex data distribution. Despite its
Zhengxiong Luo+8 more
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Q-Diffusion: Quantizing Diffusion Models
IEEE International Conference on Computer Vision, 2023Diffusion models have achieved great success in image synthesis through iterative noise estimation using deep neural networks. However, the slow inference, high memory consumption, and computation intensity of the noise estimation model hinder the ...
Xiuyu Li+7 more
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