3 papers
cs.CV2024
Active Neural Mapping at Scale
Zijia Kuang, Zike Yan, Hao Zhao +2
We introduce a NeRF-based active mapping system that enables efficient and robust exploration of large-scale indoor environments. The key to our approach is the extraction of a gen…
cs.CV2023
ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation
Zhide Zhong, Jiakai Cao, Songen Gu +6
We present ASSIST, an object-wise neural radiance field as a panoptic representation for compositional and realistic simulation. Central to our approach is a novel scene node data…
cs.CV2023
Active Neural Mapping
Zike Yan, Haoxiang Yang, Hongbin Zha
We address the problem of active mapping with a continually-learned neural scene representation, namely Active Neural Mapping. The key lies in actively finding the target space to…