Generating Realistic Training Data for Robust 2D and 3D Object Reconstruction under Occlusion using Time-Lapse Imagery

Our method automatically generates a large, realistic dataset of dynamic objects under occlusions using freely available time-lapse imagery, enabling efficient training of object reconstruction methods that are robust to occlusions.