mlsanityData to 7 Oct 2026

Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translation

arXiv 2404.19265 ↗First posted 30 Apr 2024cs.CV eess.IVcited by 7

Not on the map. Why?

Abstract (arXiv)

Generative Adversarial Networks (GANs) have significantly advanced image processing, with Pix2Pix being a notable framework for image-to-image translation. This paper explores a novel application of Pix2Pix to transform abstract map images into realistic ground truth images, addressing the scarcity of such images crucial for domains like urban planning and autonomous vehicle training. We detail the Pix2Pix model's utilization for generating high-fidelity datasets, supported by a dataset of paired map and aerial images, and enhanced by a tailored training regimen. The results demonstrate the model's capability to accurately render complex urban features, establishing its efficacy and potential for broad real-world applications.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 15 of its 30 references that are in the map. First posted on arXiv 30 Apr 2024.

Builds on

15 of 30 references.

References · 15

  1. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  2. 2017Generative Adversarial Networks: An Overviewcited by 588
  3. 2024Visual In-Context Learning for Large Vision-Language Modelscited by 124
  4. 2022A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Predictioncited by 48
  5. 2021Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentationcited by 33
  6. 2023MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformercited by 29
  7. 2023CPSeg: Finer-grained Image Semantic Segmentation via Chain-of-Thought Language Promptingcited by 28
  8. 2024TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detectioncited by 21
  9. 2023Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localizationcited by 20
  10. 2023Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Reviewcited by 17
  11. 2018Vehicle Pose and Shape Estimation through Multiple Monocular Visioncited by 13
  12. 2020Learning Energy-Based Models With Adversarial Trainingcited by 9
3 more
  1. 2023A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformercited by 9
  2. 2023Balanced Training for Sparse GANscited by 8
  3. 2020Substituting Gadolinium in Brain MRI Using DeepContrastcited by 6

Built on by

Cited by year

Citing papers per year: 2024: 5; 2025: 2.

7 papers.

  1. 2024U-KAN Makes Strong Backbone for Medical Image Segmentation and Generationcited by 176
  2. 2024Restoring Images in Adverse Weather Conditions via Histogram Transformercited by 73
  3. 2024Credit Card Fraud Detection Using Advanced Transformer Modelcited by 26
  4. 2024Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methodscited by 16
  5. 2024A Survey on the Application of Generative Adversarial Networks in Cybersecurity: Prospective, Direction and Open Research Scopescited by 2
  6. 2025Pix2Geomodel: A Next-Generation Reservoir Geomodeling with Property-to-Property Translationcited by 2
  7. 2025Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTscited by 0