lvyufeng/denoising-diffusion-mindspore
Implementation of Denoising Diffusion Probabilistic Model in MindSpore
This project helps machine learning engineers and researchers generate high-quality images from scratch, or perform image denoising. It takes a dataset of existing images as input and trains a model to understand their characteristics. The output is a new set of synthetic images that resemble the training data, allowing for creative content generation or data augmentation. This tool is for professionals working with generative AI and image synthesis.
No commits in the last 6 months. Available on PyPI.
Use this if you need to generate new, realistic images based on a dataset of examples you provide.
Not ideal if you are looking for an off-the-shelf image editor or a tool for simple image manipulation tasks.
Stars
46
Forks
10
Language
Python
License
MIT
Category
Last pushed
Dec 16, 2022
Commits (30d)
0
Dependencies
1
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