Invention Application
- Patent Title: SCORE-BASED GENERATIVE MODELING IN LATENT SPACE
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Application No.: US17681625Application Date: 2022-02-25
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Publication No.: US20220398697A1Publication Date: 2022-12-15
- Inventor: Arash VAHDAT , Karsten KREIS , Jan KAUTZ
- Applicant: NVIDIA CORPORATION
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA CORPORATION
- Current Assignee: NVIDIA CORPORATION
- Current Assignee Address: US CA Santa Clara
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06N3/08

Abstract:
One embodiment of the present invention sets forth a technique for generating data. The technique includes sampling from a first distribution associated with the score-based generative model to generate a first set of values. The technique also includes performing one or more denoising operations via the score-based generative model to convert the first set of values into a first set of latent variable values associated with a latent space. The technique further includes converting the first set of latent variable values into a generative output.
Public/Granted literature
- US12249048B2 Score-based generative modeling in latent space Public/Granted day:2025-03-11
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