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DisneyPatent applicationAI & softwareInterest 6/10

Disney patents neural network to make 3D materials look realistic

Disney has filed a patent for a system that uses a neural network to adjust how light reflects off digital surfaces. The technology takes complex light data from real or simulated materials and simplifies it so standard computer graphics engines can render them accurately from any angle.

Why it mattersThis could help animators create more realistic textures for movies and games without needing to manually tweak every light reflection.

In the filing’s own words

A neural network-based method and system are disclosed for adapting parameters of a source bidirectional reflectance distribution function (BRDF) to a target BRDF, enabling efficient and expressive material rendering. Some aspects include generating or receiving BRDF data for a plurality of source materials as a function of incoming and outgoing light directions, aggregating the data into a representation suitable for machine learning, and training a neural network to map source BRDF parameters and viewing direction to target BRDF parameters. The trained network is used to predict target BRDF parameters, which are supplied to a rendering engine for visualization. The approach supports both measured and simulated materials, employs flexible data aggregation strategies such as uniform or adaptive binning, and may utilize encoder-decoder architectures for multi-material adaptation and can thus achieve visual fidelity of complex materials while maintaining compatibility with existing parametric rendering systems, facilitating efficient, view-dependent rendering for diverse applications.

What exactly they claim (claim 1)

1. A method for adapting a source bidirectional reflectance distribution function (BRDF) to a target BRDF using a neural network, the method comprising: generating data for a plurality of source materials including measured or simulated BRDF values; aggregating the generated data into a multi-dimensional representation of incoming and outgoing light directions; training a neural network to map source BRDF parameters and viewing direction to target BRDF parameters; conditioning the neural network on source BRDF control parameters and viewing direction; predicting parameters of the target BRDF for rendering purposes; and rendering the material using the predicted target BRDF parameters in an existing rendering engine.

Facts

Company
Disney (Disney Enterprises, Inc.)
Official title
NEURAL VIEW-DEPENDENT PRINCIPLED BRDF ADAPTER
Publication number
US20260311423A1
Application number
19637968
Filed
Apr 2, 2026
Published
Oct 8, 2026
Inventors
4
Claims
20

Classified under

G06T 15/506 Physics & computingG06T 15/20 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.