TriO: Tri-Modal Unsupervised Occupancy World Model for Anything Perception

Quinlan Sykora, Sourav Biswas, Christopher Diehl +3

We present TriO, a multi-modal unsupervised world model that predicts 4D occupancy, obstacle segmentation, flow and LiDAR. In contrast to prior work, TriO utilizes three distinct s…