Nithin-GK/T2V-DDPM

[IEEE FG'23] T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models

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This project helps convert thermal infrared images of faces into high-quality visible light images, which is crucial for modern surveillance and facial recognition systems. It takes thermal facial images as input and produces realistic visible facial images, allowing existing recognition systems to work effectively even in low-light conditions. Surveillance operators and security analysts would use this to enhance their facial identification capabilities.

No commits in the last 6 months.

Use this if you need to transform thermal facial images into visible light images for improved facial recognition accuracy, especially in challenging low-light environments.

Not ideal if your primary goal is not facial image translation or if you are working with images from domains other than thermal to visible spectrum.

surveillance facial-recognition image-translation security-systems biometrics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

33

Forks

4

Language

Python

License

Apache-2.0

Last pushed

Jun 23, 2023

Commits (30d)

0

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