The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 25, 2025
Filed:
Dec. 14, 2022
Jian Ren, Hermosa Beach, CA (US);
Pavlo Chemerys, North Holland, NL;
Vladislav Shakhrai, London, GB;
Ju HU, Los Angeles, CA (US);
Denys Makoviichuk, Playa Vista, CA (US);
Sergey Tulyakov, Santa Monica, CA (US);
Junli Cao, Pittsburgh, PA (US);
Jian Ren, Hermosa Beach, CA (US);
Pavlo Chemerys, North Holland, NL;
Vladislav Shakhrai, London, GB;
Ju Hu, Los Angeles, CA (US);
Denys Makoviichuk, Playa Vista, CA (US);
Sergey Tulyakov, Santa Monica, CA (US);
Junli Cao, Pittsburgh, PA (US);
Snap Inc., Santa Monica, CA (US);
Abstract
A neural light field (NeLF) that runs real-time on mobile devices for neural rendering of three dimensional (3D) scenes, referred to as MobileR2L. The MobileR2L architecture runs efficiently on mobile devices with low latency and small size, and it achieves high-resolution generation while maintaining real-time inference for both synthetic and real-world 3D scenes on mobile devices. The MobileR2L has a network backbone including a convolutional layer embedding an input image at a resolution, residual blocks uploading the embedded image, and super-resolution modules receiving the uploaded embedded image and rendering an output image having a higher resolution than the embedded image. The convolution layer generates a number of rays equal to a number of pixels in the input image, where a partial number of the rays is uploaded to the super-resolution modules.