Yue Wang
Neural fields, or coordinate-based neural networks, have emerged as novel representations for a myriad of signals, including but not limited to 3D geometry, images, and sound. This innovative approach has seen great progress in various computer vision and computer graphics tasks, particularly in novel view synthesis and scene reconstruction. However, the incorporation of neural fields into autonomous driving and robotics is still in its early stages. Now, an intriguing question has surfaced — can these nove
Neural fields have made significant advancements in computer vision and computer graphics but are yet to be fully explored in autonomous driving and robotics. This workshop aims to bring together experts from various fields to discuss the potential of neural fields in these sectors, exchange ideas, identify limitations, and address failure cases.
The ICCV 2023 Neural Fields for Autonomous Driving and Robotics Workshop ( neural-fields.xyz ) is scheduled for October 3rd at the Paris Convention Center, France. This workshop aims to bring together researchers from machine learning, computer vision, computer graphics, and robotics to exchange ideas and discuss the current progress of neural fields in autonomous driving and robotics.
Yue Wang