Seen-to-Scene unifies propagation-based and generation-based approaches for video outpainting via fine-tuned flow completion and reference-guided latent propagation to deliver superior temporal coherence and efficiency.
Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004
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The LoViF 2026 Challenge creates the SeIQA dataset and benchmark for human-oriented semantic image quality assessment, with six submitted solutions reaching state-of-the-art performance.
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Seen-to-Scene: Keep the Seen, Generate the Unseen for Video Outpainting
Seen-to-Scene unifies propagation-based and generation-based approaches for video outpainting via fine-tuned flow completion and reference-guided latent propagation to deliver superior temporal coherence and efficiency.
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LoViF 2026 Challenge on Human-oriented Semantic Image Quality Assessment: Methods and Results
The LoViF 2026 Challenge creates the SeIQA dataset and benchmark for human-oriented semantic image quality assessment, with six submitted solutions reaching state-of-the-art performance.