Nithin-GK/T2V-DDPM
[IEEE FG'23] T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models
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.
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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.
Stars
33
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 23, 2023
Commits (30d)
0
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