corenel/pytorch-glow
PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"
This tool helps researchers and artists create new, realistic images by learning from existing image datasets. It can generate entirely new images, reconstruct original images with high fidelity, and smoothly transform images based on specific attributes like hair color or facial expressions. This is ideal for those exploring generative models for visual content creation.
No commits in the last 6 months.
Use this if you need to generate new, high-quality images, reconstruct images from learned representations, or manipulate specific attributes within images, especially for artistic or research purposes.
Not ideal if you're looking for a simple, out-of-the-box image editor or a solution for image classification or object detection.
Stars
46
Forks
14
Language
Python
License
MIT
Category
Last pushed
Aug 11, 2018
Commits (30d)
0
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