LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field

Jiyang Li^1*, Lechao Cheng^2*, Zhangye Wang¹, Tingting Mu³, Jingxuan He^2✉
*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`