mlsanityData to 14 Oct 2026

Thermal Infrared Colorization via Conditional Generative Adversarial Network

arXiv 1810.05399 ↗First posted 12 Oct 2018cs.CVcited by 15

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Abstract (arXiv)

Transforming a thermal infrared image into a realistic RGB image is a challenging task. In this paper we propose a deep learning method to bridge this gap. We propose learning the transformation mapping using a coarse-to-fine generator that preserves the details. Since the standard mean squared loss cannot penalize the distance between colorized and ground truth images well, we propose a composite loss function that combines content, adversarial, perceptual and total variation losses. The content loss is used to recover global image information while the latter three losses are used to synthesize local realistic textures. Quantitative and qualitative experiments demonstrate that our approach significantly outperforms existing approaches.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Oct 2018.

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Citing papers per year: 2021: 5; 2022: 2; 2023: 2; 2024: 1; 2025: 4; 2026: 1.

15 papers.

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  1. 2021Deep Learning for HDR Imaging: State-of-the-Art and Future Trendscited by 45
  2. 2023Edge-guided Multi-domain RGB-to-TIR image Translation for Training Vision Tasks with Challenging Labelscited by 30
  3. 2021Thermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attentioncited by 15
  4. 2023Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learningcited by 2
  5. 2021Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labelscited by 1
  6. 2022Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorizationcited by 1
  7. 2025MTSIC: Multi-stage Transformer-based GAN for Spectral Infrared Image Colorizationcited by 1
  8. 2025Contrast-Guided Cross-Modal Distillation for Thermal Object Detectioncited by 1
  9. 2021A Simple Mutual Information based Registration Method for Thermal-Optical Image Pairs applied on a Novel Datasetcited by 0
  10. 2021A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Imagescited by 0
  11. 2022Thermal infrared image based vehicle detection in low-level illumination conditions using multi-level GANscited by 0
  12. 2024LatentColorization: Latent Diffusion-Based Speaker Video Colorizationcited by 0
3 more
  1. 2025Convolutional Deep Colorization for Image Compression: A Color Grid Based Approachcited by 0
  2. 2025A Kernel Space-based Multidimensional Sparse Model for Dynamic PET Image Denoisingcited by 0
  3. 2026FSCM: Frequency-Enhanced Spatial-Spectral Coupled Mamba for Infrared Hyperspectral Image Colorizationcited by 0