Monocular Video

Monocular video analysis focuses on reconstructing 3D scenes and objects, including humans, from single-camera video footage, aiming to overcome the inherent ambiguities of depth perception. Current research heavily utilizes neural radiance fields (NeRFs) and Gaussian splatting, often incorporating kinematic models and physics-based constraints to improve accuracy and realism, particularly for dynamic scenes and human motion capture. These advancements have significant implications for fields like virtual reality, animation, and robotics, enabling more efficient and realistic 3D content creation and scene understanding.