Source 3D

Source 3D research focuses on generating, manipulating, and understanding three-dimensional data, primarily using neural radiance fields (NeRFs) and other deep learning techniques. Current efforts concentrate on improving the realism and efficiency of NeRF-based rendering, integrating 3D models into augmented reality applications for tasks like assembly instructions, and developing robust methods for 3D object detection and scene understanding from various data sources. This work has significant implications for visual effects, robotics, and human-computer interaction, enabling more immersive experiences and efficient automation of complex tasks.