Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Autolod | 1,354 | a year ago | 7 | other | C# | |||||
Automatic LOD generation + scene optimization | ||||||||||
Scene Graph Benchmark.pytorch | 914 | 2 months ago | 108 | mit | Jupyter Notebook | |||||
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020” | ||||||||||
Three.terrain | 509 | 5 | 4 | a year ago | 6 | July 06, 2021 | 3 | mit | JavaScript | |
A procedural terrain generation engine for use with the Three.js 3D graphics library for the web. | ||||||||||
Graph Rcnn.pytorch | 482 | 4 years ago | 32 | Python | ||||||
Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers | ||||||||||
Factorizablenet | 157 | 4 years ago | 6 | Python | ||||||
Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation | ||||||||||
Scene_generation | 145 | 3 years ago | 6 | apache-2.0 | Python | |||||
A PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation | ||||||||||
Text2scene | 101 | a year ago | 2 | Python | ||||||
[CVPR 2019] Text2Scene: Generating Compositional Scenes from Textual Descriptions | ||||||||||
Proceduralpatterns2d | 57 | 5 years ago | other | C# | ||||||
Scfusion | 44 | 2 months ago | 2 | bsd-2-clause | C++ | |||||
The code of SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion | ||||||||||
Ebm_compositionality | 31 | 2 years ago | 3 | Python | ||||||
[NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models |
Automatic LOD generation + scene optimization - Initial release was on January 12, 2018 via blogpost
AutoLOD is primarily a framework for enabling automatic post-processing of geometrical model assets on import to create simplified levels-of-detail (LOD). A default mesh simplifier is included, but can be swapped out with other simplifiers and on a per-model basis if needed. Additionally, a whole scene can be hierarchically chunked into LODs with SceneLOD.
It’s important to note that AutoLOD is an experimental feature. As such, there is no formal support (e.g. FogBugz, [email protected], Premium Support, etc.) offered, so please do not use these channels. Instead, post your questions, comments, suggestions, and issues here on GitHub.
As with anything experimental/preview/alpha/beta, it is always a good idea to make a backup of your project before using.
Experimental means this:
Unity 2018.4 (LTS) or a later version is required
https://github.com/Unity-Technologies/AutoLOD.git
"com.unity.autolod": "https://github.com/Unity-Technologies/AutoLOD.git",
{
"dependencies": {
"com.unity.autolod": "https://github.com/Unity-Technologies/AutoLOD.git",
"com.unity.ads": "2.0.8",
"com.unity.analytics": "3.2.3",
"com.unity.collab-proxy": "1.2.15",
"...": "...",
}
}
Packages
directory.git lfs clone https://github.com/Unity-Technologies/AutoLOD
If you plan on making changes to AutoLOD and/or contributing back, then you'll need to set the Asset Serialization
property under Edit->Project Settings->Editor to Force Text
.
Unity Companion License (see LICENSE)
By making a pull request, you are confirming agreement to the terms and conditions of the UCA, including that your Contributions are your original creation and that you have complete right and authority to make your Contributions.
Amir Ebrahimi
Elliot Cuzzillo
Yuangguang Liao