advimman/CIPS
Official repository for the paper "Image Generators with Conditionally-Independent Pixel Synthesis" (CVPR2021, Oral)
This project helps researchers and practitioners in machine learning who are developing or experimenting with image generation models. It takes a collection of real-world images (like faces or churches) as input and can generate new, unique images that resemble the input data. The primary users are typically AI researchers or engineers working on computer vision tasks.
208 stars. No commits in the last 6 months.
Use this if you are an AI researcher or engineer focused on creating new, high-quality synthetic images from a given dataset.
Not ideal if you are looking for a simple, out-of-the-box tool to generate images without deep technical understanding or extensive computational resources.
Stars
208
Forks
35
Language
Python
License
MIT
Category
Last pushed
Feb 19, 2021
Commits (30d)
0
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