Rain impedes outdoor vision for both human and cameras. In this project, we propose a robust and highly efficient vision restoration framework under torrential rain fall with fast moving cameras.... [Read More]

We investigate the challenge of synthesizing dense light fields based on very sparse inputs. With a coarse-to-fine spatial-angular clue modeling, high quality views could be reconstructed that out-performs state-of-the-art methods.... [Read More]