Rig-space neural rendering of digital assets
AssigneesDisney Enterprises, Inc., ETH Zürich (Eidgenössische Technische Hochschule Zürich)
InventorsDominik BORER, Jakob BUHMANN, Martin GUAY
Life of this patent
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Abstract
Various embodiments disclosed herein provide techniques for generating image data of a three-dimensional (3D) animatable asset. A rendering module executing on a computer system accesses a machine learning model that has been trained via first image data of the 3D animatable asset generated from first rig vector data. The rendering module receives second rig vector data. The rendering module generates, via the machine learning model, a second image data of the 3D animatable asset based on the second rig vector data.
Claims20
A computer-implemented method for generating image data of a three-dimensional (3D) animatable asset, the method comprising:
- accessing a machine learning model that has been trained via first image data of
- the 3D animatable asset generated from first rig vector data;
- receiving second rig vector data;
- and
- generating, via the machine learning model, a second image data of the 3D animatable asset based on the second rig vector data.
One or more non-transitory computer-readable storage media including instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of:
- accessing a machine learning model that has been trained via first image data of the 3D animatable asset generated from first rig vector data;
- receiving second rig vector data;
- and
- generating, via the machine learning model, a second image data of the 3D animatable asset based on the second rig vector data.
A system, comprising:
- a memory that includes instructions;
- and
- a processor that is coupled to the memory and, when executing the instructions:
- accesses a machine learning model that has been trained via first image data of the 3D animatable asset generated from first rig vector data;
- receives second rig vector data;
- and
- generates, via the machine learning model, a second image data of the 3D animatable asset based on the second rig vector data.
Dependencies are inferred from the claim text.