mlsanityData to 14 Oct 2026

AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images

arXiv 2404.01024 ↗First posted 1 Apr 2024cs.CV eess.IVcited by 16

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Abstract (arXiv)

In recent years, the rapid advancement of Artificial Intelligence Generated Content (AIGC) has attracted widespread attention. Among the AIGC, AI generated omnidirectional images hold significant potential for Virtual Reality (VR) and Augmented Reality (AR) applications, hence omnidirectional AIGC techniques have also been widely studied. AI-generated omnidirectional images exhibit unique distortions compared to natural omnidirectional images, however, there is no dedicated Image Quality Assessment (IQA) criteria for assessing them. This study addresses this gap by establishing a large-scale AI generated omnidirectional image IQA database named AIGCOIQA2024 and constructing a comprehensive benchmark. We first generate 300 omnidirectional images based on 5 AIGC models utilizing 25 text prompts. A subjective IQA experiment is conducted subsequently to assess human visual preferences from three perspectives including quality, comfortability, and correspondence. Finally, we conduct a benchmark experiment to evaluate the performance of state-of-the-art IQA models on our database. The database will be released to facilitate future research.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). Builds on 20 of its 38 references that are in the map. First posted on arXiv 1 Apr 2024.

Builds on

20 of 38 references.

References · 20

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
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8 more
  1. 2023AGIQA-3K: An Open Database for AI-Generated Image Quality Assessmentcited by 142
  2. 2023AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondencecited by 61
  3. 2022Perceptual Quality Assessment of Omnidirectional Imagescited by 34
  4. 2022Confusing Image Quality Assessment: Towards Better Augmented Reality Experiencecited by 32
  5. 2022Text2Light: Zero-Shot Text-Driven HDR Panorama Generationcited by 24
  6. 2022Saliency in Augmented Realitycited by 17
  7. 2023Perceptual Quality Assessment of Omnidirectional Audio-visual Signalscited by 12
  8. 2023Audio-visual Saliency for Omnidirectional Videoscited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 7; 2025: 8; 2026: 1.

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  1. 2024Quality Assessment in the Era of Large Models: A Surveycited by 26
  2. 2024Quality Assessment for AI Generated Images with Instruction Tuningcited by 13
  3. 2024F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restorationcited by 10
  4. 2025LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretationcited by 10
  5. 2025Omni2: Unifying Omnidirectional Image Generation and Editing in an Omni Modelcited by 9
  6. 2024G-Refine: A General Quality Refiner for Text-to-Image Generationcited by 8
  7. 2025HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessmentcited by 7
  8. 2025LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMscited by 7
  9. 2024MVBIND: Self-Supervised Music Recommendation For Videos Via Embedding Space Bindingcited by 2
  10. 2024Quality-guided Skin Tone Enhancement for Portrait Photographycited by 2
  11. 2025Multi-Dimensional Quality Assessment for Text-to-3D Assets: Dataset and Modelcited by 2
  12. 2025Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessmentcited by 1
4 more
  1. 2024PKU-AIGIQA-4K: A Perceptual Quality Assessment Database for Both Text-to-Image and Image-to-Image AI-Generated Imagescited by 0
  2. 2025Immersive Multimedia Communication: State-of-the-Art on eXtended Reality Streamingcited by 0
  3. 2025Inpainting the Red Planet: Diffusion Models for the Reconstruction of Martian Environments in Virtual Realitycited by 0
  4. 2026Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Unified and Generalized Approachcited by 0