2024年3月15日 · This paper presents GGRt, a novel approach to generalizable novel view synthesis that alleviates the need for real camera poses, complexity in processing high-resolution images, and lengthy optimization processes, thus facilitating stronger applicability of 3D Gaussian Splatting (3D-GS) in real-world scenarios.

2024年7月16日 · With the exception of a few reports, these Microsoft Excel-based reporting forms are required to be submitted to EPA through EPA’s electronic Greenhouse Gas Reporting Tool (e-GGRT). To submit a report through e-GGRT, you will first need to register.

Official implementation of "GGRt: Towards Pose-free Generalizable 3D Gaussian Splatting in Real-time". For LLFF dataset, please follow the ibrnet. For Waymo dataset, please download the data from EmerNeRF. The data structure is as follows: │ │ │ ├── ... │ ├── ... │ │ ├── ... we provide launch.json formatted for debugging. "env": {

2022年3月3日 · As a new e-GGRT user you will start at the e-GGRT login page: https://ghgreporting.epa.gov . Context sensitive help on every page . If you have a Central Data Exchange (CDX) account then log in with your credentials here . Otherwise, click the Create your e-GGRT Account link . 9

2024年3月15日 · This paper presents GGRt, a novel approach to generalizable novel view synthesis that alleviates the need for real camera poses, complexity in processing high-resolution images, and lengthy optimization processes, thus facilitating stronger applicability of 3D Gaussian Splatting (3D-GS) in real-world scenarios.

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This paper presents GGRt, a novel approach to generaliz-able novel view synthesis that alleviates the need for real camera poses, complexity in processing high-resolution images, and lengthy optimiza-tion processes, thus facilitating stronger applicability of 3D Gaussian Splatting (3D-GS) in real-world scenarios.

2024年4月11日 · This paper presents GGRt, a novel approach to generalizable novel view synthesis that alleviates the need for real camera poses, complexity in processing high-resolution images, and lengthy optimization processes, thus facilitating stronger applicability o_ggrt

This paper presents ggrt, a novel approach to generalizable novel view synthesis that alleviates the need for real camera poses, complexity in processing high-resolution images, and lengthy optimization processes. 这篇论文介绍了GGRt，一种新颖的通用新视角合成方法，它减轻了对真实相机位姿、处理高分辨率图像的复杂性和冗长的优化过程的需要，从而促进了3D高斯喷溅（3D-GS）在实际场景中的更强适用性。

Cal e-GGRT, review your report to ensure emissions and product data are correct • Check that emissions totals on the Facility/Supplier Overview page match your calculations • Review the overall magnitude of emissions • Generate the full report and check inputs and other data •