Blind omnidirectional image quality assessment reduces to standard 2D blind IQA by skipping viewport generation, yielding a unified model that accepts equirectangular inputs directly.
Image quality assessment: From error visibility to structural similarity,
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
FDIM is a new hybrid feature-distance video quality metric trained on over 16k sequences that shows strong generalization and correlation with human judgments across ten unseen SDR/HDR datasets and diverse codecs.
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Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Unified and Generalized Approach
Blind omnidirectional image quality assessment reduces to standard 2D blind IQA by skipping viewport generation, yielding a unified model that accepts equirectangular inputs directly.
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FDIM: A Feature-distance-based Generic Video Quality Metric for Versatile Codecs
FDIM is a new hybrid feature-distance video quality metric trained on over 16k sequences that shows strong generalization and correlation with human judgments across ten unseen SDR/HDR datasets and diverse codecs.