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Malanshan Audio & Video Laboratory
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Packet loss can turn high-fidelity neural rendering into a visual nightmare, but this new framework keeps the quality intact by smartly packaging and recovering 3D attributes.
Non-orthogonal redundancy in Gaussian primitives can lead to a staggering 71.7% reduction in storage costs while boosting rendering speed by over 34%.
Achieving stable bitrate tracking in learned video compression can reduce average bitrate errors to as low as 2.13%, transforming how we manage video quality under constraints.
