mlsanityData to 14 Oct 2026

StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation

arXiv 2305.10882 ↗First posted 18 May 2023cs.CV cs.LG eess.IVcited by 4

Not on the map. Why?

Abstract (arXiv)

This paper addresses the problem of translating night-time thermal infrared images, which are the most adopted image modalities to analyze night-time scenes, to daytime color images (NTIT2DC), which provide better perceptions of objects. We introduce a novel model that focuses on enhancing the quality of the target generation without merely colorizing it. The proposed structural aware (StawGAN) enables the translation of better-shaped and high-definition objects in the target domain. We test our model on aerial images of the DroneVeichle dataset containing RGB-IR paired images. The proposed approach produces a more accurate translation with respect to other state-of-the-art image translation models. The source code is available at https://github.com/LuigiSigillo/StawGAN

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 20 of its 31 references that are in the map. First posted on arXiv 18 May 2023.

Builds on

20 of 31 references.

References · 20

  1. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  2. 2022Generative Adversarial Networkscited by 5,627
  3. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,527
  4. 2016Improved Techniques for Training GANscited by 2,970
  5. 2018Spectral Normalization for Generative Adversarial Networkscited by 1,636
  6. 2017High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANscited by 1,179
  7. 2016Colorful Image Colorizationcited by 1,114
  8. 2019StarGAN v2: Diverse Image Synthesis for Multiple Domainscited by 1,098
  9. 2017Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networkscited by 707
  10. 2020Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learningcited by 152
  11. 2017Real-Time User-Guided Image Colorization with Learned Deep Priorscited by 123
  12. 2018Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Networkcited by 97
8 more
  1. 2021Colorization Transformercited by 89
  2. 2020Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identificationcited by 71
  3. 2021Thermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attentioncited by 15
  4. 2022PalGAN: Image Colorization with Palette Generative Adversarial Networkscited by 15
  5. 2021TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translationcited by 12
  6. 2019Unpaired Thermal to Visible Spectrum Transfer using Adversarial Trainingcited by 9
  7. 2019UGAN: Untraceable GAN for Multi-Domain Face Translationcited by 4
  8. 2022Hypercomplex Image-to-Image Translationcited by 4

Built on by

Cited by year

Citing papers per year: 2024: 3; 2025: 1.

4 papers.

  1. 2024DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image Enhancementcited by 15
  2. 2024Ship in Sight: Diffusion Models for Ship-Image Super Resolutioncited by 6
  3. 2024A Wavelet Diffusion GAN for Image Super-Resolutioncited by 4
  4. 2025MTSIC: Multi-stage Transformer-based GAN for Spectral Infrared Image Colorizationcited by 1