sanweiliti / rohm Goto Github PK
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Home Page: https://sanweiliti.github.io/ROHM/ROHM.html
License: Other
The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.
Home Page: https://sanweiliti.github.io/ROHM/ROHM.html
License: Other
I have a large dataset of handheld videos of dancers. Will this be a problem for the 3D pose tracking?
Very excited to try this. I have a research application involving partner dancers. I haven't seen anything else that can do good monocular 3D poses. If this supports multiple people, especially if they are standing close to each other, or occluding, this is a big advancement.
@sanweiliti
Thanks for your outstanding work, I wonder when you will release all the code?
Thanks for releasing such an outstanding work, I wonder if you will release all the code? @sanweiliti
Congrats to an amazing research effort guys and gals! This looks very cool and I can think of many implementations for this. I am looking forward to the code and being able to do this myself for mocap in 3D and VFX!
Question:
Will it be able to output an FBX/BVH or equivalent datastructure for transfer to other 3D programs?
Is it locked to camera-space or is it trying to capture the person in a "volume", meaning the mocap data is usable for showcasing other camera angles as well?
Again, thanks so much and very looking forward to it - genius!
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