3D Controllable GANs
We define the new task of 3D controllable image synthesis and propose an approach for solving it by reasoning both in 3D space and in the 2D image domain.
We define the new task of 3D controllable image synthesis and propose an approach for solving it by reasoning both in 3D space and in the 2D image domain.
Within the first year of their life, humans develop a common-sense understanding of the physical behavior of the world. This understanding relies heavily on ...
We develop a novel algorithm to train self-driving vehicles that are able to drive well across a diverse range of weather conditions in urban environments.
Deep neural networks have revolutionized computer vision over the last decade. They excel in 2D-based vision tasks such as object detection, optical flow pre...
We take advantage of the physical image formation process for self-supervised motion deblurring.