WHU-IIP dataset samples of face images in thermal domain (top) and
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Download scientific diagram | WHU-IIP dataset samples of face images in thermal domain (top) and visible domain (bottom) and existing GAN based methods. For WHU-IIP for thermal to real visual transformation, 552 training image pairs, and 240 testing image pairs are considered in the experiments. We use 403 images for training and 156 images for testing in paired manner for Tufts Face Thermal2RGB dataset. Tufts Face thermal2RGB dataset contains more diverse data than WHU-IIP to judge the generalization capability of the proposed model. It includes images of people having various races with different facial attributes, including some people who have sunglasses and spectacles. from publication: TVA-GAN: Attention Guided Generative Adversarial Network For Thermal To Visible Face Transformations | In the recent advancement of machine learning methods for realistic image generation and image translation, Generative Adversarial Networks (GANs) play a vital role. GAN generates novel samples that look indistinguishable from the real images. The image translation using a | Visibility, Transformation and Face | ResearchGate, the professional network for scientists.
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://opencv.org/wp-content/uploads/2024/02/1200x628-2.png)
Your 2024 Guide to the Top 6 Computer Vision Problems
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://www.researchgate.net/publication/361071318/figure/fig5/AS:11431281179204875@1691161622629/a-The-luminance-map-b-The-saturation-map-c-The-gradient-map-d-The-image-depth.png)
a) The luminance map. (b) The saturation map. (c) The gradient map.
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://www.researchgate.net/publication/368375629/figure/fig1/AS:11431281178684920@1690996192875/Contrast-matching-experiment-setup-The-test-display-HDR-screen-and-the-reference.png)
Contrast matching experiment setup. The test display (HDR screen) and
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://www.researchgate.net/publication/361071318/figure/fig4/AS:11431281179180806@1691161622147/From-left-to-right-a-and-d-Original-low-light-hazy-image-b-and-e-The-map-of.png)
From left to right—(a) and (d): Original low‐light hazy image. (b) and
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://www.researchgate.net/publication/355053340/figure/fig1/AS:1076223996354560@1633603204331/A-network-block-of-Recurrent-Inception-Block-RCIN-Attention-mechanism-for-network_Q320.jpg)
WHU-IIP dataset samples of face images in thermal domain (top) and
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://pub.mdpi-res.com/healthcare/healthcare-10-00087/article_deploy/html/images/healthcare-10-00087-g001.png?1641373384)
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PDF) High-resolution thermal face dataset for face and expression recognition
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://www.researchgate.net/publication/366103093/figure/fig1/AS:11431281105748866@1670503439203/Piecewise-linear-function-a-Memorial-Church-b-Moto.png)
Piecewise linear function. (a) Memorial Church; (b) Moto.
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://www.researchgate.net/publication/366103093/figure/fig4/AS:11431281105776434@1670503439745/A-comparison-of-tone-mapping-algorithms-on-the-apartment-image-a-Result-by-TMO-Net_Q320.jpg)
A comparison of tone mapping algorithms on the moto image. (a) Result
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a) Use of model in conjunction with a heliodon. b) Use of model in
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://www.researchgate.net/publication/366103093/figure/tbl1/AS:11431281105738181@1670503440082/Objective-evaluations-using-6-tone-mapping-algorithms-and-3-radiance-maps_Q320.jpg)
Objective evaluations using 6 tone mapping algorithms and 3 radiance maps.
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://static.cambridge.org/content/id/urn%3Acambridge.org%3Aid%3Aarticle%3AS2755095823000220/resource/name/S2755095823000220_figAb.png?pub-status=live)
Marine conservation palaeobiology: What does the late Quaternary fossil record tell us about modern-day extinctions and biodiversity threats?, Cambridge Prisms: Extinction
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://i1.rgstatic.net/ii/profile.image/1045868597760000-1626365913103_Q64/Sutanu-Bera.jpg)
TVA-GAN: attention guided generative adversarial network for thermal to visible image transformations
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