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CAMBI: Contrast-aware Multiscale Banding Index
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Banding artifacts are artificially-introduced contours arising from the quantization of a smooth region in a video. Despite the advent of recent higher quality video systems with more efficient codecs, these artifacts remain conspicuous, especially on larger displays. In this work, a comprehensive subjective study is performed to understand the dependence of the banding visibility on encoding parameters and dithering. We subsequently develop a simple and intuitive no-reference banding index called CAMBI (Contrast-aware Multiscale Banding Index) which uses insights from Contrast Sensitivity Function in the Human Visual System to predict banding visibility. CAMBI correlates well with subjective perception of banding while using only a few visually-motivated hyperparameters.
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Cited by 1 Pith paper
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BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos
The paper introduces a 3,254-video benchmark with pixel-level artifact masks for AI-generated video, and reports that fine-tuning on it improves artifact localization.
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