Carnegie Mellon University

William Marsh Rice University

Nvidia Corporation

Huaijin Chen

Ashok Veeraraghavan

Aswin C Sankaranarayanan

Yicheng Wu

Vivek Boominathan

Jan Kautz

Ming-Yu Liu

Orazio Gallo

Jinwei Gu

A method for a passive single-viewpoint 3D imaging system comprises capturing an image from a camera having one or more phase masks. The method further includes using a reconstruction algorithm, for estimation of a 3D or depth image.

Passive and single-viewpoint 3D imaging system

An image processing method extracts consecutive input blurry frames from a video, and generates sharp frames corresponding to the input blurry frames. An optical flow is determined between the sharp frames, and the optical flow is used to compute a per-pixel blur kernel. The blur kernel is used to reblur each of the sharp frames into a corresponding re-blurred frame. The re-blurred frame is used to fine-tune the deblur network by minimizing the distance between the re-blurred frame and the input blurry frame.

Unsupervised learning approach for video deblurring

Growing community of inventors

Houston, TX, United States of America

Huaijin Chen