Invention Publication
- Patent Title: TECHNIQUES FOR FINE-TUNING A MACHINE LEARNING MODEL TO RECONSTRUCT A THREE-DIMENSIONAL SCENE
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Application No.: US18497945Application Date: 2023-10-30
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Publication No.: US20240169652A1Publication Date: 2024-05-23
- Inventor: Yang FU , Sifei LIU , Jan KAUTZ , Xueting LI , Shalini DE MELLO , Amey KULKARNI , Milind NAPHADE
- 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: G06T15/04
- IPC: G06T15/04 ; G06T7/40 ; G06T7/60 ; G06T15/08 ; G06T15/10

Abstract:
In various embodiments, a scene reconstruction model generates three-dimensional (3D) representations of scenes. The scene reconstruction model computes a first 3D feature grid based on a set of red, blue, green, and depth (RGBD) images associated with a first scene. The scene reconstruction model maps the first 3D feature grid to a first 3D representation of the first scene. The scene reconstruction model computes a first reconstruction loss based on the first 3D representation and the set of RGBD images. The scene reconstruction model modifies at least one of the first 3D feature grid, a first pre-trained geometry decoder, or a first pre-trained texture decoder based on the first reconstruction loss to generate a second 3D representation of the first scene.
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T15/00 | 3D〔三维〕图像的加工 |
G06T15/04 | .纹理映射 |