A new family of metrics for evaluating Multi-Object Tracking.
A generative model structured into independent causal mechanisms produces images for training invariant classifiers.
Generative Radiance Fields generate 3D-consistent images, scale well to high resolution and require only unposed 2D images for training.
We analyze the trade-off between annotation time & driving policy performance for several intermediate scene representations.
A flexible implicit neural representation to perform large-scale 3D reconstruction.