A new shared video-image tokenizer enables large language models to surpass diffusion models on standard visual generation benchmarks.
Overview of the high efficiency video coding (
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PACE achieves state-of-the-art LiDAR point cloud compression with over 90% lower decoding latency by using a non-causal backbone and a stage-scalable causal predictor.
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Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
A new shared video-image tokenizer enables large language models to surpass diffusion models on standard visual generation benchmarks.
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PACE: Post-Causal Entropy Modeling for Learned LiDAR Point Cloud Compression
PACE achieves state-of-the-art LiDAR point cloud compression with over 90% lower decoding latency by using a non-causal backbone and a stage-scalable causal predictor.