Comments (5)
I also encountered this problem, is there anything need to pay attention to?
from econ.
I have discussed this failure case in ECON's paper. This issue mainly comes from off-the-shelf HPS (Human Pose & Shape Estimation), which were trained on pseudo 3D ground truth, have bias towards mean pose, or to say, the bent legs / arms.
Apart from replacing the HPS approach with one trained on synthetic data with REAL grond-truth data, another workaround is to re-posed the reconstruction with pre-defined SMPL-X T-Pose parameters as follows:
- change the avatarizer.py#L168
from
new_pose = smpl_out_lst[2].full_pose
to
new_pose = smpl_out_lst[0].full_pose
- repose the ECON's reconstruction
python -m apps.avatarizer -n {filename}
from econ.
Thank you so much,I will try it!
from econ.
@YuliangXiu For some reason,I don't want to use the visible face from SMPL-X.But when I set ["hand"] or [] in config/econ.yaml and ran python -m apps.avatarizer -n {filename}
(I had changed smpl_out_lst[2] to smpl_out_lst[0]),the output file {filename}_econ_pose.obj was wrong.It was only about 400KB and I coudn't open it.But the {filename}_econ_da.obj was normal.
Is this a normal phenomenon?How can I solve the problem.Is there any way that after running avatarizer.py,my hands are from SMPL-X and my face is actually mine.Thanks!
from econ.
@YuliangXiu For some reason,I don't want to use the visible face from SMPL-X.But when I set ["hand"] or [] in config/econ.yaml and ran
python -m apps.avatarizer -n {filename}
(I had changed smpl_out_lst[2] to smpl_out_lst[0]),the output file {filename}_econ_pose.obj was wrong.It was only about 400KB and I coudn't open it.But the {filename}_econ_da.obj was normal. Is this a normal phenomenon?How can I solve the problem.Is there any way that after running avatarizer.py,my hands are from SMPL-X and my face is actually mine.Thanks!
I just updated the code to fix this bug.
from econ.
Related Issues (20)
- Regarding the issue of mesh hand reconstruction HOT 4
- How to render SMPLX front and back normal if I konw the camera parameters KRT and SMPLX parameters? HOT 5
- Stuck on Out: pymafx_data.zip
- Download link not work HOT 2
- Questions about testing HOT 2
- How to obtain a depth map for a image HOT 1
- Question about diffference in benchmark & paper HOT 2
- The test results of the pre-trained model are inconsistent with the benchmark HOT 1
- Questions about training HOT 3
- Problem with docker, it is not inferring ( I did not change any parameter) HOT 1
- blender issue in Quick Start HOT 4
- Why is the reconstruction result of my occluded images so poor? HOT 1
- About testing HOT 1
- ImportError: libtorch_cuda_cu.so: cannot open shared object file: No such file or directory
- multi persons support HOT 1
- Username/Password Authentication Failed. HOT 2
- Training ECON with THuman2.0. HOT 2
- It is about ECON+TEXTure
- What parameters is used when rendering CAPE dataset?
- Keep getting an error with no details HOT 1
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from econ.