Segmentation, the task of delineating and isolating distinct objects, is a fundamental problem in computer vision. Much of the current approaches are supervised, relying on expensive manual annotations.

Dynamic scene reconstruction is a long-term challenge in the field of 3D vision.

Unsupervised monocular depth estimation techniques have demonstrated encouraging results but typically assume that the scene is static.

Motion modeling is critical in flow-based Video Frame Interpolation (VFI).

Synthetic visual data can provide practically infinite diversity and rich labels, while avoiding ethical issues with privacy and bias.