Current differentiable renderers provide light transport gradients with respect to arbitrary
scene parameters. However, the mere existence of these gradients does not guarantee …

In recent years, the integration of polarimetric imaging into robotic perception systems has
increased significantly, driven by the accessibility of affordable polarimetric sensors. This …

The constellation of Earth-observing satellites continuously collects measurements of
scattered radiance, which must be transformed into geophysical parameters in order to …

Improving the reliability of automotive perceptive sensors in degraded weather conditions,
including fog, is an important issue for road safety and the development of automated …

The constellation of Earth-observing satellites continuously collects measurements of
scattered radiance, which must be transformed into geophysical parameters in order to …

We explored imaging methods to perform in situ field measurements of physical correlates of
the visual appearance of snow. Measurements were performed at three locations in Norway …

We present a straightforward approach for reconstructing 3D celadon models from a single
2D image. The celadon is a historical example of the surface of revolution. Our approach …

Realistic fluid models play an important role in computer graphics applications. However,
efficiently reconstructing volumetric fluid flows from monocular videos remains challenging …

We propose an approach to 3D reconstruction via inverse procedural modeling and
investigate two variants of this approach. The first option consists in the fitting set of input …

Leveraging the open-world understanding capacity of large-scale visual-language pre-
trained models has become a hot-spot in point cloud classification. Recent approaches rely …