Nvidia Corporation

Karan Sapra

Ting-Chun Wang

Ming-Yu Liu

Andrew J Tao

Bryan Catanzaro

Arun Mohanray Mallya

Shiqiu Liu

Zhiding Yu

Robert Pottorff

Guilin Liu

Jarmo Lunden

Fitsum A Reda

Brandon Rowlett

Apparatuses, systems, and techniques are presented to synthesize consistent images or video. In at least one embodiment, one or more neural networks are used to generate one or more second images based, at least in part, on one or more point cloud representations of one or more first images.

Video synthesis using one or more neural networks

Apparatuses, systems, and techniques are presented to generate one or more images. In at least one embodiment, two or more pixels from two or more images are blended based, at least in part, on a distance of the two or more pixels from a region of the two or more images, in which pixel colors are substantially similar.

Pixel blending for neural network-based image generation

Apparatuses, systems, and techniques for texture synthesis from small input textures in images using convolutional neural networks. In at least one embodiment, one or more convolutional layers are used in conjunction with one or more transposed convolution operations to generate a large textured output image from a small input textured image while preserving global features and texture, according to various novel techniques described herein.

Techniques to use a neural network to expand an image

Growing community of inventors

Santa Clara, CA, United States of America

Karan Sapra