MLVC transmits entropy scale parameters via the hyperprior so that neural video decoding stays deterministic across different NPU vendors, achieving >70% BD-rate (MOS) gains over hardware HEVC in video-conferencing tests.
RoboTron-Sim: Improving real-world driving via simulated hard-case
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EponaV2 advances perception-free driving world models by forecasting comprehensive future 3D geometry and semantic representations, achieving SOTA planning performance on NAVSIM benchmarks.
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MLVC: Multi-platform Learned Video Codec for Real-World Deployment
MLVC transmits entropy scale parameters via the hyperprior so that neural video decoding stays deterministic across different NPU vendors, achieving >70% BD-rate (MOS) gains over hardware HEVC in video-conferencing tests.
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EponaV2: Driving World Model with Comprehensive Future Reasoning
EponaV2 advances perception-free driving world models by forecasting comprehensive future 3D geometry and semantic representations, achieving SOTA planning performance on NAVSIM benchmarks.