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Which pretrained human repose model was used? #22

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luopeixiang opened this issue Oct 10, 2024 · 5 comments
Open

Which pretrained human repose model was used? #22

luopeixiang opened this issue Oct 10, 2024 · 5 comments

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@luopeixiang
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In the "Canonical identity" section, you mention using "a pretrained human repose model" to transform the posed human image to the canonical A-pose result. However, I couldn't find which specific model was used.

Could you share which pretrained model you used for this? It'd be super helpful for understanding and potentially reproducing the work.

@luopeixiang
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simplx https://github.com/johndpope/MIMO-hack https://github.com/johndpope/MIMO-hack/blob/main/smplx_pose_frame_0.png https://github.com/johndpope/MIMO-hack/blob/main/test_motion.py

I got stuck on en3d stuff

simplx https://github.com/johndpope/MIMO-hack https://github.com/johndpope/MIMO-hack/blob/main/smplx_pose_frame_0.png https://github.com/johndpope/MIMO-hack/blob/main/test_motion.py

I got stuck on en3d stuff

I believe the pretrained human repose model mentioned in the paper doesn't utilize any 3D-related algorithms. Its input is a human image in any pose, and the output is the same person in a standard A-pose.

It's likely one of the models listed in this repository:

https://github.com/Zhangjinso/Awesome-pose-transfer?tab=readme-ov-file

I plan to try out the CFLD model from this collection to see its performance.

https://github.com/YanzuoLu/CFLD

@johndpope
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johndpope commented Oct 10, 2024

maybe detectron2? - https://github.com/johndpope/MIMO-hack/blob/1c8b2d8bd935dc23e969a6af533eb18c32805e1d/utils.py#L172
though arguably sapien stuff supercedes this model.
Screenshot from 2024-10-10 14-17-56

@richieliuse
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simplx https://github.com/johndpope/MIMO-hack https://github.com/johndpope/MIMO-hack/blob/main/smplx_pose_frame_0.png https://github.com/johndpope/MIMO-hack/blob/main/test_motion.py
I got stuck on en3d stuff

simplx https://github.com/johndpope/MIMO-hack https://github.com/johndpope/MIMO-hack/blob/main/smplx_pose_frame_0.png https://github.com/johndpope/MIMO-hack/blob/main/test_motion.py
I got stuck on en3d stuff

I believe the pretrained human repose model mentioned in the paper doesn't utilize any 3D-related algorithms. Its input is a human image in any pose, and the output is the same person in a standard A-pose.

It's likely one of the models listed in this repository:

https://github.com/Zhangjinso/Awesome-pose-transfer?tab=readme-ov-file

I plan to try out the CFLD model from this collection to see its performance.

https://github.com/YanzuoLu/CFLD

I've tried CFLD. It looks bad on wild data.

@1zeryu
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1zeryu commented Nov 17, 2024

I've tried CFLD. Thx!

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