Speaker：Juyong Zhang (University of Science and Technology of China)

Time：2023-5-6, 10:00

Location：Conference Room 686 at the 6th floor of Shuli Building at Haiyun Campus

                  Tencent Meeting ID：638-910-638（No Password）

Abstract:

Efficient and high-precision 3D reconstruction of objects, scenes and people in the real physical world is a core research problem in computer graphics, 3D vision and other fields. Traditional 3D vision and 3D reconstruction usually include multiple steps such as depth acquisition, point cloud alignment, and mesh reconstruction. In this presentation, I will first introduce the research work of the group in depth estimation, rigid/non-rigid alignment, and mesh reconstruction, and then present our research work on direct reconstruction of dynamic deformable objects from captured monocular RGB or RGB-D video sequences based on neural implicit representation and inverse rendering.