| Unity-Technologies/AutoLOD |
1,665 |
|
0 |
0 |
about 2 years ago |
0 |
|
10 |
other |
C# |
| Automatic LOD generation + scene optimization |
| KaihuaTang/Scene-Graph-Benchmark.pytorch |
914 |
|
0 |
0 |
over 2 years ago |
0 |
|
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” |
| IceCreamYou/THREE.Terrain |
509 |
|
5 |
5 |
almost 4 years 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. |
| jwyang/graph-rcnn.pytorch |
482 |
|
0 |
0 |
about 6 years ago |
0 |
|
32 |
|
Python |
| Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers |
| yikang-li/FactorizableNet |
157 |
|
0 |
0 |
over 6 years ago |
0 |
|
6 |
|
Python |
| Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation |
| ashual/scene_generation |
145 |
|
0 |
0 |
over 5 years ago |
0 |
|
6 |
apache-2.0 |
Python |
| A PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation |
| uvavision/Text2Scene |
101 |
|
0 |
0 |
almost 4 years ago |
0 |
|
2 |
|
Python |
| [CVPR 2019] Text2Scene: Generating Compositional Scenes from Textual Descriptions |
| UnityTechnologies/ProceduralPatterns2D |
57 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
other |
C# |
| ShunChengWu/SCFusion |
44 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
bsd-2-clause |
C++ |
| The code of SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion |
| yilundu/ebm_compositionality |
31 |
|
0 |
0 |
about 4 years ago |
0 |
|
3 |
|
Python |
| [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models |
