Date(s) - 07/01/2021
10:30 am - 1:50 pm
3D reconstruction refers to the process of recovering 3D shape of objects from sensor data. It has always been one of the key topics in computer vision, and has broad applications in robotics, visualization, entertainment, healthcare, etc. Over the past 5 decades, many sophisticated methods have been proposed based on physical and geometric constraints, and the reconstruction problem is once considered largely solved. With the recent success of deep learning in many computer vision tasks, researchers are interested in revisiting the 3D reconstruction problem and deriving novel learning based methods to achieve new standards in reconstruction quality and robustness. This workshop invites internationally renowned experts to share their findings and insights in deep learning based 3D reconstruction with the research community.