tqch/ddpm-torch
Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)
This tool helps researchers and artists create new, realistic images from scratch, or understand the underlying structure of image generation. You provide a dataset of existing images (like MNIST, CIFAR10, or CelebA), and it learns to generate similar, novel images. It's designed for anyone experimenting with generative AI for image synthesis or data augmentation.
231 stars. No commits in the last 6 months.
Use this if you need to generate high-quality, diverse synthetic images from a given dataset for creative projects, research, or expanding training data.
Not ideal if you are looking for an out-of-the-box solution to modify existing images or perform specific image-to-image translations, as its primary focus is on generating new images.
Stars
231
Forks
39
Language
Python
License
MIT
Category
Last pushed
Aug 07, 2024
Commits (30d)
0
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