PlenOctrees

PlenOctrees are a way to represent 3D scenes efficiently using a hierarchical structure combining octrees and neural networks. An octree divides space into smaller cubes recursively, allowing detailed regions to be stored with fewer resources. At each node, a neural network predicts how light interacts within that area, enabling realistic rendering of complex scenes like scenes or objects. This structure allows for quick, high-quality rendering while managing memory effectively. Essentially, PlenOctrees combine spatial partitioning with machine learning to efficiently model and visualize detailed 3D environments.