Nvidia Corporation

Alex John Bauld Evans

Carl Jacob Munkberg

Alexander Georg Keller

Ming-Yu Liu

Sanja Fidler

Jun Gao

Jon Niklas Theodor Hasselgren

Wenzheng Chen

Tianchang Shen

Thomas Müller-Höhne

Zhaoshuo Li

Chen-Hsuan Lin

Apparatuses, systems, and techniques to generate pixels based on other pixels. In at least one embodiment, one or more neural networks are used to generate one or more pixels based, at least in part, on sets of pixels surrounding the one or more pixels.

Neural networks to generate pixels

A technique is described for extracting or constructing a three-dimensional (3D) model from multiple two-dimensional (2D) images. In an embodiment, a foreground segmentation mask or depth field may be provided as an additional supervision input with each 2D image. In an embodiment, the foreground segmentation mask or depth field is automatically generated for each 2D image. The constructed 3D model comprises a triangular mesh topology, materials, and environment lighting. The constructed 3D model is represented in a format that can be directly edited and/or rendered by conventional application programs, such as digital content creation (DCC) tools. For example, the constructed 3D model may be represented as a triangular surface mesh (with arbitrary topology), a set of 2D textures representing spatially-varying material parameters, and an environment map. Furthermore, the constructed 3D model may be included in 3D scenes and interacts realistically with other objects.

Extracting triangular 3-D models, materials, and lighting from images

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London, United Kingdom

Alex John Bauld Evans