Panoptic Vision-Language Feature Fields
IEEE RA-L, 2023
In this paper, we proposed a open-vocabulary panoptic system based on neural fields for scene understanding. Our method implicitly reconstructs the scene geometry from 2D images and simultaneously gains panoptic informaiton from 2D proposals computed by off-the-shelf 2D networks.
Recommended citation: Haoran Chen, Kenneth Blomqvist, Francesco Milano and Roland Siegwart. "Panoptic Vision-Language Feature Fields." IEEE Robotics and Automation Letters. 2024 https://arxiv.org/abs/2309.05448