mlsanityData to 7 Oct 2026

When Visible-to-Thermal Facial GAN Beats Conditional Diffusion

arXiv 2302.09395 ↗First posted 18 Feb 2023cs.CV cs.AI eess.IVcited by 4

On the map: Diffusion models → Image generation, text-to-image and editing

Abstract (arXiv)

Thermal facial imagery offers valuable insight into physiological states such as inflammation and stress by detecting emitted radiation in the infrared spectrum, which is unseen in the visible spectra. Telemedicine applications could benefit from thermal imagery, but conventional computers are reliant on RGB cameras and lack thermal sensors. As a result, we propose the Visible-to-Thermal Facial GAN (VTF-GAN) that is specifically designed to generate high-resolution thermal faces by learning both the spatial and frequency domains of facial regions, across spectra. We compare VTF-GAN against several popular GAN baselines and the first conditional Denoising Diffusion Probabilistic Model (DDPM) for VT face translation (VTF-Diff). Results show that VTF-GAN achieves high quality, crisp, and perceptually realistic thermal faces using a combined set of patch, temperature, perceptual, and Fourier Transform losses, compared to all baselines including diffusion.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 45 of its 74 references that are in the map. First posted on arXiv 18 Feb 2023.

Builds on

45 of 74 references.

Closest ancestors · 2

Same direction, newest first

  1. 2022T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models19 Sep
  2. 2021Palette: Image-to-Image Diffusion Models10 Nov

Other references · 43

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
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  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
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  8. 2014Conditional Generative Adversarial Netscited by 2,152
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  11. 2019Semantic Image Synthesis with Spatially-Adaptive Normalizationcited by 1,295
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31 more
  1. 2017StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translationcited by 1,036
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  22. 2017TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognitioncited by 12
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Cited by year

Citing papers per year: 2023: 2; 2024: 1; 2025: 1.

4 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2024Data Generation Scheme for Thermal Modality with Edge-Guided Adversarial Conditional Diffusion Model
  2. 2025F-ViTA: Foundation Model Guided Visible to Thermal Translation
  3. 2026MTVDiff: Multimodal Conditional Latent Diffusion for Enhanced Thermal-to-Visible Face Translation
  4. 2025Multi-Attribute guided Thermal Face Image Translation based on Latent Diffusion Model
  5. 2024Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation
  6. 2024LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation
  7. 2026GAN-Diff : Coupling Pretrained WGAN-GP Features with Conditional Diffusion U-Nets
  8. 2026SynThermFace: Amplifying Limited Paired Data for Visible-Thermal Face Recognition via Synthetic Data Generation