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New diffusion-based video codec S2VC boosts perceptual quality

Researchers have developed S2VC, a novel single-step diffusion-based video codec designed to enhance perceptual quality at low bitrates. This method integrates a conditional coding framework with an efficient diffusion generator, incorporating Contextual Semantic Guidance for frame-adaptive semantics and Temporal Consistency Guidance within a U-Net architecture to ensure temporal coherence. Experiments indicate that S2VC achieves state-of-the-art perceptual quality, offering an average bitrate saving of 52.73% compared to previous perceptual methods. AI

IMPACT Introduces a novel approach to video compression that could lead to more efficient and higher-quality video streaming at lower bitrates.

RANK_REASON Research paper detailing a new technical approach to video compression. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

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New diffusion-based video codec S2VC boosts perceptual quality

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Research paper detailing a new technical approach to video compression. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Zihan Zheng, Yuan Zhang, Yan Lu ·

    Single-step Diffusion-based Video Coding with Semantic-Temporal Guidance

    arXiv:2512.07480v2 Announce Type: replace Abstract: While traditional and neural video codecs (NVCs) have achieved remarkable rate-distortion performance, improving perceptual quality at low bitrates remains challenging. Some NVCs incorporate perceptual or adversarial objectives …