Low-Bitrate Video Compression through Semantic-Conditioned Diffusion
📰 ArXiv cs.AI
DiSCo framework uses semantic-conditioned diffusion for low-bitrate video compression
Action Steps
- Decompose the source video into compact modalities
- Apply semantic-conditioned diffusion to transmit meaningful information
- Use generative priors for detail synthesis
- Evaluate the compressed video quality using human perception metrics
Who Needs to Know This
This research benefits ML researchers and video compression engineers who aim to improve video quality at low bitrates, and can be applied in teams working on video streaming and compression technologies
Key Insight
💡 Semantic video compression can outperform traditional codecs at ultra-low bitrates by prioritizing human-perceptible information
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💡 DiSCo framework achieves low-bitrate video compression through semantic-conditioned diffusion!
Key Takeaways
DiSCo framework uses semantic-conditioned diffusion for low-bitrate video compression
Full Article
Title: Low-Bitrate Video Compression through Semantic-Conditioned Diffusion
Abstract:
arXiv:2512.00408v2 Announce Type: replace-cross Abstract: Traditional video codecs optimized for pixel fidelity collapse at ultra-low bitrates and produce severe artifacts. This failure arises from a fundamental misalignment between pixel accuracy and human perception. We propose a semantic video compression framework named DiSCo that transmits only the most meaningful information while relying on generative priors for detail synthesis. The source video is decomposed into three compact modalitie
Abstract:
arXiv:2512.00408v2 Announce Type: replace-cross Abstract: Traditional video codecs optimized for pixel fidelity collapse at ultra-low bitrates and produce severe artifacts. This failure arises from a fundamental misalignment between pixel accuracy and human perception. We propose a semantic video compression framework named DiSCo that transmits only the most meaningful information while relying on generative priors for detail synthesis. The source video is decomposed into three compact modalitie
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