base on Level of Gaussians <div align="center"> <a href=https://zju3dv.github.io/LoG_webpage/> <img src="assets/log_logo.svg" alt="logo" width="70%" align="center"/> </a> </div> ---   [](license) **LoG** utilizes a single RTX 4090 for training highly realistic urban-scale models and for their real-time rendering. Visit our [**project page**](https://zju3dv.github.io/LoG_webpage/) for more demos. https://github.com/chingswy/LoGvideos/assets/22812405/abb200c1-5b9c-48fd-a9a1-f235499153d2 Our code is built upon PyTorch and leverages [gaussian-splatting](https://github.com/graphdeco-inria/diff-gaussian-rasterization) techniques. ## Quick Start For a smooth setup, follow the [installation guide](./docs/install.md). ## Dataset Preparation We employ [Colmap](https://colmap.github.io/) to prepare the dataset. Refer to the [preprocessing documentation](./docs/preprocess.md) for detailed instructions. A minimal example dataset is provided [here](https://forms.gle/E3Roi9zriu6Sk4557). ## Training Training the model is as simple as one command: ```bash python3 apps/train.py --cfg config/example/test/train.yml split train ``` We automatically configure heuristic parameters based on the dataset size. We provide a path for interpolation visualization ```bash python3 apps/train.py --cfg config/example/test/train.yml split demo_interpolate ckptname output/example/test/level_of_gaussian/model_init.pth ``` The visualization video will be stored at `output/example/test/level_of_gaussian/demo_interpolate/rgb.mp4` ## Immersive Visualization :rocket: We will update a real-time rendering tool designed for immersive visualization. ## Acknowledgements We acknowledge the following inspirational prior work: - [gaussian-splatting](https://github.com/graphdeco-inria/gaussian-splatting) - [LandMark](https://github.com/InternLandMark/LandMark) - [UrbanBIS dataset](https://vcc.tech/UrbanBIS) - [UrbanScene3D dataset](https://vcc.tech/UrbanScene3D) - [UAVD4L dataset](https://github.com/RingoWRW/UAVD4L) The rendering GUI is powered by our [EasyVolcap](https://github.com/zju3dv/EasyVolcap) tool. Contributions are warmly welcomed! If you've made significant progress on any of these fronts, please consider submitting a pull request. ## Citation If you find this code useful for your research, please cite us using the following BibTeX entry. ```bibtex @inproceedings{shuai2024LoG, title={Real-Time View Synthesis for Large Scenes with Millions of Square Meters}, author={Shuai, Qing and Guo, Haoyu and Xu, Zhen and Lin, Haotong and Peng, Sida and Bao, Hujun and Zhou, Xiaowei}, year={2024} } ```", Assign "at most 3 tags" to the expected json: {"id":"9850","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"