LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field
Jiyang Li1*,
Lechao Cheng2*,
Zhangye Wang1,
Tingting Mu3,
Jingxuan He2✉
*Equal contribution.
✉Corresponding author.
1Zhejiang University,
2Hefei University of Technology,
3The University of Manchester
## Environment
- CUDA = 12.1
- Pytorch = 2.1.1
- Python = 3.11
```bash
pip install -r requirements.txt
```
## Train
### Train 3D-GS
```bash
python gaussian_splatting/train.py -s {images_path}
```
### Train LoopGaussian
```bash
python train_loop.py --task_name ${task_name}
```
The rendering result will be saved in `output/{task_name}/visual.mp4`