Results 341 to 350 of about 19,979,346 (388)

THE DIFFUSION PROCESS [PDF]

open access: yesIncreasing Understanding of Public Problems and Policies, 1956
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
openaire   +4 more sources

Global Structure-Aware Diffusion Process for Low-Light Image Enhancement

Neural Information Processing Systems, 2023
This 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
semanticscholar   +1 more source

Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

arXiv.org, 2023
We 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
semanticscholar   +1 more source

A Prognostic Model Based on DBN and Diffusion Process for Degrading Bearing

IEEE transactions on industrial electronics (1982. Print), 2020
Remaining 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
semanticscholar   +1 more source

Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

arXiv.org, 2023
We 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
semanticscholar   +1 more source

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Computer Vision and Pattern Recognition, 2023
A 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
semanticscholar   +1 more source

Q-Diffusion: Quantizing Diffusion Models

IEEE International Conference on Computer Vision, 2023
Diffusion 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
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy