Snap inc. (20240303902). NEURAL SHADING OF REFLECTIVE SURFACES simplified abstract

From WikiPatents
Revision as of 06:48, 12 September 2024 by Wikipatents (talk | contribs) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

NEURAL SHADING OF REFLECTIVE SURFACES

Organization Name

snap inc.

Inventor(s)

Vladislav Shakhrai of London (GB)

Sergey Demyanov of Santa monica CA (US)

Aleksei Stoliar of Marina del Rey CA (US)

Istvan Marton of Encino CA (US)

NEURAL SHADING OF REFLECTIVE SURFACES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240303902 titled 'NEURAL SHADING OF REFLECTIVE SURFACES

The subject technology involves rendering images of objects with reflective surfaces using a neural network model.

  • Technology receives object mesh, viewpoint information, and a set of maps.
  • Generates a rasterized RGB image based on the object mesh, viewpoint, and maps.
  • Utilizes a neural network model to create an output image of the object with a reflective surface.
  • Provides the output image for display on a computer client device.

Potential Applications: - Virtual reality simulations - Product design and visualization - Gaming graphics development

Problems Solved: - Enhancing realism in rendered images - Simplifying the process of rendering reflective surfaces

Benefits: - Improved visual quality in digital representations - Streamlined rendering process for reflective objects

Commercial Applications: Title: Advanced Rendering Technology for Reflective Surfaces This technology can be used in industries such as: - Architecture and interior design - Automotive design and manufacturing - Entertainment and media production

Prior Art: Researchers can explore existing patents related to rendering technologies and neural network applications for image processing.

Frequently Updated Research: Stay updated on advancements in neural network models for image rendering and reflective surface simulations.

Questions about Advanced Rendering Technology for Reflective Surfaces: 1. How does this technology improve the visual quality of rendered images? 2. What are the key factors influencing the efficiency of the neural network model in generating reflective surfaces?


Original Abstract Submitted

the subject technology receives an object mesh, information related to a viewpoint for rendering an image of an object having a reflective surface, and a set of maps. the subject technology generates a rasterized rgb (red green blue) image based on the object mesh, the viewpoint, and the set of maps. the subject technology generates, using a neural network model, an output image of the object with the reflective surface based at least in part on the rasterized rgb image and the viewpoint. the subject technology provides for display the output image of the object with the reflective surface on a display of a computer client device.