Camila Wilson

Dynamic Neural Scene Reconstruction from Sparse Multi-View Observations with Geometry-Aware Depth and Correspondence Constraints

A novel framework designed to achieve high-fidelity dynamic neural scene reconstruction from highly sparse viewpoints by integrating geometry-aware depth priors and robust multi-view correspondence constraints is proposed, offering a scalable solution for dynamic scene capture.