Open LinzhouLi opened 4 months ago
Hey there! I recommend you to take a look at the following:
1)Double-check whether it's SMPL-X or SMPL optimization. 2)Verify the corresponding masks as well.
Thanks for your kind advice!
1) I'm sure about I use SMPL optimization and the initial SMPL parameters are provided by your dataset. And I even delete smplx
in assets
folder to make sure I only use SMPL information for optimization.
2) I retrain the model with masks provided by your dataset. And rename them to match the files in images
folder. I'll show they are matched in the figures below.
After that, the error poses after optimation still exist.
Below are 3 error poses. (from left to right: GT image, GT mask, origin pose, optimized pose after stage1)
Hi, here are some results after retraining:
Thanks! I know that most of poses are correct after optimization, but some error poses appear. Could you please release the trained model after stage 1?
Hi, thanks for your great work!
I trained GaussianAvatar with
dynvideo_female
anddynvideo_male
sequences. I found there are some artifacts of smpl poses after stage1 training. The optimized poses are even worse than the origin poses. I would like to ask what cause this issue?Below are some example of the error poses. (from left to right: GT image, origin pose, optimized pose after stage1)
![00388](https://github.com/huliangxiao/GaussianAvatar/assets/71712265/c4bcf6ee-d1b0-4fc6-b893-d52b953e8a8d)
Best regards!