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Found 5 papers, 3 papers with code
ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation
We present ASSIST, an object-wise neural radiance field as a panoptic representation for compositional and realistic simulation.
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
We expect this modular design to boost academic progress and industrial deployment of NeRF-based autonomous driving simulation.
Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds
Second, a weakly-supervised deep learning method was proposed for plant organ segmentation.
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling
In the first stage, we perform self-supervised representation learning on unlabeled points with the proposed Viewpoint Bottleneck loss function.
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck
Semantic understanding of 3D point clouds is important for various robotics applications.
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