Facebook Technologies, LLC

Shoou-I Yu

Chenglei Wu

Yaser Sheikh

Jason Saragih

Takaaki Shiratori

Tomas Simon Kreuz

Stephen Anthony Lombardi

The disclosed computer system may include an input module, an autoencoder, and a rendering module. The input module may receive geometry information and images of a subject. The geometry information may be indicative of variation in geometry of the subject over time. Each image may be associated with a respective viewpoint and may include a view-dependent texture map of the subject. The autoencoder may jointly encode texture information and the geometry information to provide a latent vector. The autoencoder may infer, using the latent vector, an inferred geometry and an inferred view-dependent texture of the subject for a predicted viewpoint. The rendering module may be configured to render a reconstructed image of the subject for the predicted viewpoint using the inferred geometry and the inferred view-dependent texture. Various other systems and methods are also disclosed.

Systems and methods for rendering avatars with deep appearance models

Multiple cameras with different orientations capture images of an object positioned at a target position relative to the cameras. Images from each camera are processed in parallel to determine depth information from correspondences between different regions within an image captured by each image capture device in parallel. Depth information for images from each camera is modified in parallel based on shading information for the images and stereoscopic information from the images. In various embodiments, the depth information is refined by minimizing a total energy from intensities of portions of the images having a common depth and intensities of portions of the image from shading information from images captured by multiple cameras. The modified depth information from multiple images is combined to generate a reconstruction of the object positioned at the target position.

Generating a representation of an object from depth information determined in parallel from images captured by multiple cameras

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Pittsburgh, PA, United States of America

Shoou-I Yu