mlsanityData to 7 Oct 2026

Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition

arXiv 2309.12428 ↗First posted 21 Sep 2023cs.CVcited by 5

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Abstract (arXiv)

The Video and Image Processing (VIP) Cup is a student competition that takes place each year at the IEEE International Conference on Image Processing. The 2022 IEEE VIP Cup asked undergraduate students to develop a system capable of distinguishing pristine images from generated ones. The interest in this topic stems from the incredible advances in the AI-based generation of visual data, with tools that allows the synthesis of highly realistic images and videos. While this opens up a large number of new opportunities, it also undermines the trustworthiness of media content and fosters the spread of disinformation on the internet. Recently there was strong concern about the generation of extremely realistic images by means of editing software that includes the recent technology on diffusion models. In this context, there is a need to develop robust and automatic tools for synthetic image detection.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 31 of its 39 references that are in the map. First posted on arXiv 21 Sep 2023.

Builds on

31 of 39 references.

References · 31

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19 more
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Built on by

Cited by year

Citing papers per year: 2024: 3; 2025: 2.

5 papers.

  1. 2024Towards Understanding Unsafe Video Generationcited by 10
  2. 2024A Large-scale Universal Evaluation Benchmark For Face Forgery Detectioncited by 3
  3. 2024Landscape More Secure Than Portrait? Zooming Into the Directionality of Digital Images With Security Implicationscited by 2
  4. 2025Could AI Trace and Explain the Origins of AI-Generated Images and Text?cited by 1
  5. 2025Deepfakes: we need to re-think the concept of "real" imagescited by 1

Similar, not cited

Close in wording, no citation either way

  1. 2023DIRE for Diffusion-Generated Image Detection
  2. 2024Synthetic Photography Detection: A Visual Guidance for Identifying Synthetic Images Created by AI
  3. 2026Findings of the Counter Turing Test: AI-Generated Image Detection
  4. 2023Diffusion Noise Feature: Accurate and Fast Generated Image Detection
  5. 2024The Cat and Mouse Game: The Ongoing Arms Race Between Diffusion Models and Detection Methods
  6. 2025Explainable Synthetic Image Detection through Diffusion Timestep Ensembling
  7. 2025Toward Generalized Detection of Synthetic Media: Limitations, Challenges, and the Path to Multimodal Solutions
  8. 2025Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images