BulletGen enhances 4D dynamic scene reconstruction from monocular videos by supervising Gaussian optimization with diffusion-generated frames aligned at a bullet-time step, achieving SOTA on novel-view synthesis and tracking.
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Develops a game-theoretic estimator for true information gain in active perception that achieves sub-linear regret and shows average gains of 7% information gain and 42% error reduction across simulated and real robot experiments.
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BulletGen: Improving 4D Reconstruction with Bullet-Time Generation
BulletGen enhances 4D dynamic scene reconstruction from monocular videos by supervising Gaussian optimization with diffusion-generated frames aligned at a bullet-time step, achieving SOTA on novel-view synthesis and tracking.
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An Active Perception Game for Robust Exploration
Develops a game-theoretic estimator for true information gain in active perception that achieves sub-linear regret and shows average gains of 7% information gain and 42% error reduction across simulated and real robot experiments.