by UC Berkeley · 0 reviews
An open-source framework for neural radiance field development providing plug-and-play components for NeRF-based 3D reconstruction from images.
by scikit-learn · 0 reviews
An efficient unsupervised anomaly detection algorithm that isolates anomalies through random partitioning, robust to high-dimensional data.
by NVIDIA · 0 reviews
A framework for neural graphics primitives enabling fast training and rendering of neural radiance fields using learned hash tables.
by scikit-learn · 0 reviews
An unsupervised anomaly detection method that computes local density deviations to detect anomalies relative to neighboring points.