AI RESEARCH
MAGICIAN: Efficient Long-Term Planning with Imagined Gaussians for Active Mapping
arXiv CS.CV
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ArXi:2603.22650v1 Announce Type: new Active mapping aims to determine how an agent should move to efficiently reconstruct an unknown environment. Most existing approaches rely on greedy next-best-view prediction, resulting in inefficient exploration and incomplete scene reconstruction. To address this limitation, we