18182117. NEURAL SHADING OF REFLECTIVE SURFACES simplified abstract (Snap Inc.)
Contents
NEURAL SHADING OF REFLECTIVE SURFACES
Organization Name
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 18182117 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 and viewpoint.
- Uses a neural network model to create an output image with reflective surfaces.
- 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 creating reflective surfaces in digital images
Benefits: - Improved visual quality in digital renderings - Streamlined workflow for graphic designers and artists
Commercial Applications: Title: Advanced Rendering Technology for Enhanced Visuals This technology can be used in industries such as: - Entertainment (movies, video games) - Architecture and interior design - E-commerce product visualization
Prior Art: Researchers can explore existing patents related to rendering technologies, neural networks, and computer graphics.
Frequently Updated Research: Stay updated on advancements in neural network models for image rendering and computer graphics technology.
Questions about the technology: 1. How does this technology improve the rendering process for objects with reflective surfaces? 2. What are the potential limitations of using neural network models for image rendering?
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.
