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Augmented Reality (AR) enhances the real world by integrating virtual content, yet ensuring the quality, usability, and safety of AR experiences presents significant challenges.
Image quality metrics: PSNR vs. SSIM
A. Hore and D. Ziou · 2010
Earlier work this paper cites.
Next-generation augmented reality browsers: Rich, seamless, and adaptive
T. Langlotz, T. Nguyen, D. Schmalstieg, and R. Grasset · 2014
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The real-life dangers of augmented reality
E. E. Sabelman and R. Lam · 2015
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Augmented reality 3D discrepancy check in industrial applications
O. Wasenmüller, M. Meyer, and D. Stricker · 2016
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Hallucinated-IQA: No-reference image quality assessment via adversarial learning
K. Lin and G. Wang · 2018
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Evaluating mixed and augmented reality: A systematic literature review (2009-2019)
L. Merino, M. Schwarzl, M. Kraus, M. Sedlmair, D. Schmalstieg, and D. Weiskopf · 2020
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Will it move? Indoor scene characterization for hologram stability in mobile AR
T. Scargill, S. Hurli, J. Chen, and M. Gorlatova · 2021
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NeuroLens: Augmented reality-based contextual guidance through surgical tool tracking in neurosurgery
S. Eom, D. Sykes, S. Rahimpour, and M. Gorlatova · 2022
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A survey on vision transformer
K. Han, Y. Wang, H. Chen, X. Chen, J. Guo, Z. Liu, Y. Tang, A. Xiao, C. Xu, Y. Xu, et al · 2022
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Breaking common sense: Whoops! a vision-and-language benchmark of synthetic and compositional images
N. Bitton-Guetta, Y. Bitton, J. Hessel, L. Schmidt, Y. Elovici, G. Stanovsky, and R. Schwartz · 2023
Cited alongside, same era.
IQAGPT: Image quality assessment with vision-language and ChatGPT models
Z. Chen, B. Hu, C. Niu, T. Chen, Y. Li, H. Shan, and G. Wang · 2023
Cited alongside, same era.
OpenAI · 2023
Cited alongside, same era.
Exploring CLIP for assessing the look and feel of images
J. Wang, K. C. Chan, and C. C. Loy · 2023
Cited alongside, same era.
ROME: Evaluating pre-trained vision-language models on reasoning beyond visual common sense
K. Zhou, E. Lai, W. B. A. Yeong, K. Mouratidis, and J. Jiang · 2023
Gemini: A family of highly capable multimodal models
Google · 2024
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SEESys: Online pose error estimation system for visual SLAM
T. Hu, T. Scargill, F. Yang, Y. Chen, G. Lan, and M. Gorlatova · 2024
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Benchmarking VLMs’ reasoning about persuasive atypical images
S. Malakouti, A. Aghazadeh, A. Khandelwal, and A. Kovashka · 2024
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Scaniverse - 3D scanner
Niantic, Inc · 2024
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“Looking” into attention patterns in extended reality: An eye tracking-based study
Z. Qu, R. Byrne, and M. Gorlatova · 2024
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Eyes wide shut? Exploring the visual shortcomings of multimodal LLMs
S. Tong, Z. Liu, Y. Zhai, Y. Ma, Y. LeCun, and S. Xie · 2024
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Cited alongside, same era.
Introducing the next generation of Claude
Anthropic · 2024
Cited alongside, same era.
SpatialBot: Precise spatial understanding with vision language models
W. Cai, I. Ponomarenko, J. Yuan, X. Li, W. Yang, H. Dong, and B. Zhao · 2024
Cited alongside, same era.
AR shopping for glasses, 2024
DeepAR · 2024
Cited alongside, same era.
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Vision-language models for vision tasks: A survey
J. Zhang, J. Huang, S. Jin, and S. Lu · 2024
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ViDDAR: Vision language model-based task-detrimental content detection for augmented reality
Y. Xiu, T. Scargill, and M. Gorlatova · 2025
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