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1.(HMMR) Learning 3d human dynamics from video(2019)
temporal encoder: **1D temporal** convolutional layers, **precompute** the image features on each frame, get current and ±∆t frames prediction.
c…
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1.HoloPose: Holistic 3D Human Reconstruction In-The-Wild(2019)
mixture-of-experts rotation prior, part-based modeling( features co-varies with joint position)
code: can not open [http://arielai.com/…
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**With Clothes**
1.Learning to reconstruct people in clothing from a single rgb camera(2019)
code:https://github.com/thmoa (no training code) (same link to 1,2,3)
2.Multi-garmentnet: Learning to…
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1.Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild(2019)
In annotations used for input and supervision, dense correspondence can be more effective, or achieve same results when …
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1.PARE: Part Attention Regressor for 3D Human Body Estimation(2021)
img-->volumetric features(before the global average pooling)-->part branch: estimates attention weights +feature branch: performs S…
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Is self-distillation only implemented for image processing model? videomamba_distill.py is only in the image_sm/models folder. I would like to use videoMamba as a backbone for video 3D pose estimation…
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The original droid paper jointly refine the poses and depths.
I just wondered if slam.py also jointly refines the initial depth map (estimated from metric3D).
If not, could you share any idea to r…
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1.Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop（2019）
collaborate regression-based (as initial pose) and iterative optimization-based approach.
code: No
2.Weakly S…
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Hi @zehongs @pengsida ,
Thank you for your continuous great works! I have a question about GVHMR.
How can I visualize the global camera trajectories (sequential 6D camera poses), when there are …
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https://movement.neuroinformatics.dev/
Pose estimation tools, such as [DeepLabCut](https://www.mackenziemathislab.org/deeplabcut/) and [SLEAP](https://sleap.ai/#) are now commonplace when processin…