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US 12,711,583 B1Granted
Neural network image generation
AssigneeNVIDIA Corporation
InventorsMing-Yu Liu, Yogesh Balaji, Songwei Ge, Seungjun Nah
Life of this patent
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Abstract
Apparatuses, system, and techniques to process resources used to perform a neural network to generate one or more images. In at least one embodiment, a processor comprising circuitry uses one or more neural networks to generate one or more second images based, at least in part, on noise within a first image.
Claims17
A processor, comprising:
- one or more circuits configured to;
- use one or more diffusion model neural networks to generate video, based at least in part, on transforming a sequence of correlated noised images into a corresponding sequence of denoised video frames, wherein the correlated noised images comprise one or more subsequent images of the sequence containing noise based, at least in part, on noise within one or more earlier images of the sequence.
A system, comprising:
- one or more processors configured to;
- use one or more diffusion model neural networks to generate video, based at least in part, on transforming a sequence of correlated noised images into a corresponding sequence of denoised video frames, wherein the correlated noised images comprise one or more subsequent images of the sequence containing noise based, at least in part, on noise within one or more earlier images of the sequence.
A method, comprising:
- using one or more neural networks, implemented using one or more processors, to generate video, based at least in part, on transforming a sequence of correlated noised images into a corresponding sequence of denoised video frames, wherein the correlated noised images comprise one or more subsequent images of the sequence containing noise based, at least in part, on noise within one or more earlier images of the sequence.
Dependencies are inferred from the claim text.