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J. Katto

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Preprint Aug 2026

Streamable Neural Video Compression: A Mixed Precision Approach for Cross-Platform Deployment

This paper proposes a streamable, client-server NVC architecture featuring a novel Mixed Precision (FP16/FP32) strategy, and demonstrates that this approach successfully eliminates intra-generation fragmentation and substantially broadens cross-die interoperability, achieving seamless cross-generation decodability for...

Kasidis Arunruangsirilert, He-Ming Sun, J. Katto · 0 citations
Open access Sep 2026

Benchmarking token mixers for efficient transformer-based learned video compression

This study establishes a clear lower bound and optimal trade-off points for context modeling in ATEM, provides critical insights into the redundancy of context module designs in video compression and establishes a new efficiency benchmark for future lightweight framework designs.

Chun Zhang, He-Ming Sun, J. Katto · 0 citations

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