no code implementations • CVPR 2019 • Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Fanello
The key insight is to leverage previously seen "calibration" images of a given user to extrapolate what should be rendered in a novel viewpoint from the data available in the sensor.
no code implementations • 12 Nov 2018 • Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien Valentin, Sameh Khamis, Philip Davidson, Anastasia Tkach, Peter Lincoln, Adarsh Kowdle, Christoph Rhemann, Dan B. Goldman, Cem Keskin, Steve Seitz, Shahram Izadi, Sean Fanello
We take the novel approach to augment such real-time performance capture systems with a deep architecture that takes a rendering from an arbitrary viewpoint, and jointly performs completion, super resolution, and denoising of the imagery in real-time.
no code implementations • ECCV 2018 • Rohit Pandey, Pavel Pidlypenskyi, Shuoran Yang, Christine Kaeser-Chen
Virtual and augmented reality technologies have seen significant growth in the past few years.
no code implementations • 16 Apr 2018 • Rohit Pandey, Pavel Pidlypenskyi, Shuoran Yang, Christine Kaeser-Chen
Virtual and augmented reality technologies have seen significant growth in the past few years.