Then, please download the pretrained 4D-GS weight and gradients.
You can download the weights from Google Drive.
2. Training
Gradient (2D mean, t) should be calculated in advance to sample important Gaussians.
If --grad is not designated, it will automatically compute gradients.
Once you compute gradients (or download provided gradients), please set --grad to your gradient path, not to compute them repeatedly.
You can check the result (w/ various metrics, encoded model size, etc.) at ./res.txt
3. Evaluation
At the end of training, the evaluation process is implemented. Or you can evaluate the trained model with the encoded "comp.xz" file with the following command
