Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction 事件

Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction arXiv:2605.31595v1 Announce Type: new Abstract: Dynamic scene reconstruction from monocular video remains a fundamental challenge in computer vision. Existing feed-forward methods predict 3D Gaussians pixel-wise for each frame, suffering from duplicated Gaussians and view-dependent biases that hinder effective learning of scene motion. We present C4G, a feed-forward 4D reconstruction framework built upon a compact