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This code has been developed with Anaconda (Python 3.9), CUDA 12.1.1 on Red Hat Enterprise Linux 9.2, one NVIDIA GeForce RTX 3090 GPU.
Based on a fresh Anaconda environment gaufre, following packages need to be installed:
To use, one needs to unzip each [NestedPath]/[Scene].zip to be folder [NestedPath]/[Scene].
Training and Inference
To train GauFRe on a scene [NestedPath]/[Scene], and save output to folder [OutputPath],
conda activate [YourPath]/gaufre
# for real-world scenes
bash scripts/trainval_real.sh [NestedPath]/[Scene] [OutputPath]
# for synthetic scenes
bash scripts/trainval_synthetic.sh [NestedPath]/[Scene] [OutputPath]
Acknowledgement
Please cite our paper if you found our work useful:
@inproceedings{liang2024gaufre,
Author = {Liang, Yiqing and Khan, Numair and Li, Zhengqin and Nguyen-Phuoc, Thu and Lanman, Douglas and Tompkin, James and Xiao, Lei},
Booktitle = {WACV},
Title = {GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis},
Year = {2025}
}
We thank https://github.com/graphdeco-inria/gaussian-splatting for source code reference.