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Yanzuo Lu
oliveryanzuolu
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RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO
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Excited to share RAVEN, my first PhD project. Paper, code, and models are all released. RAVEN is for real-time autoregressive video generation. Instead of simply appending future chunks, we train the model to better remember and use its own generated history, leading to more realistic and natural long-horizon videos. Technically, RAVEN repacks self-rollouts into interleaved clean historical endpoints and noisy denoising states, aligning training-time attention with inference-time extrapolation. We also introduce CM-GRPO: by reformulating consistency-model sampling as a conditional Gaussian transition kernel, online RL can directly optimize the sampler transition used at inference. Project Page: https://yanzuo.lu/raven Paper: https://arxiv.org/abs/2605.15190 Code: https://github.com/mvp-ai-lab/RAVEN Model: https://huggingface.co/mvp-lab/RAVEN
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RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO
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oliveryanzuolu/70113_GenAI_helper_models
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Feb 19