sian-chen/PyTorch-ECGAN

The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".

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Experimental

This project offers a powerful method to generate high-quality, realistic images based on specific categories or conditions. You input an existing image dataset and define the categories you want to generate, and it outputs entirely new, diverse images that belong to those specified categories. It's ideal for machine learning researchers and practitioners focused on advanced image synthesis.

No commits in the last 6 months.

Use this if you are a machine learning researcher or practitioner needing to generate synthetic images that are highly realistic and controllable by specific conditions, achieving state-of-the-art results.

Not ideal if you are looking for a simple, out-of-the-box image generation tool without deep technical expertise in machine learning and generative models.

generative-AI image-synthesis conditional-image-generation deep-learning-research computer-vision
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 7 / 25

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Stars

23

Forks

2

Language

Python

License

Last pushed

Nov 03, 2021

Commits (30d)

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