Advancements in 3D Reconstruction from Monocular Video

This chapter explores breakthroughs in converting RGB monocular videos into 3D point clouds, with an emphasis on camera motion and scene geometry estimation. It discusses the integration of human movements into robotic contexts and the complexities of retargeting in imitation learning. The speakers also address challenges in dataset curation, video quality, and real-time optimization processes for accurate human motion representation.