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Wonderful work!
I have noticed the "poses" parameter dimension is 165. So what does it contain?
"body_pose", "jaw_pose" or something else?
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As lots of excellent work is going to appear in CVPR 2022, we are collecting the newly released papers related to human mesh recovery (a.k.a. 3D human pose and shape estimation).
If you have any pr…
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Hi, thanks for your great work. I have just entered into the 3D human pose. I admire your work.
Your paper estimates Z/f using weak perspective model, which SMAP estimates Zw/f, in which Z is the or…
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In your code just use the 2D joints to train model, and there are no test data, can you provide full code?
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https://linkinpark213.com/2018/11/18/densepose-minesweeping/#more
DensePose is a great work in real-time human pose estimation, which is based on Caffe2 and Detectron framework. It extracts dense h…
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https://aclanthology.org/2022.wmt-1.71/
- [x] sync, pull and merge master first!
- [x] Search for the correct citation on Semantic Scholar
- [x] Make a new branch ("You should always branch out f…
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hi, does the project is corresponding to the paper "XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera"? and the project is completed? can you give a readme of how to trai…
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Hello! Thank you for your excellent work. I would like to ask how to run the data collected by myself on human performers and extract those human surfaces. Specifically, I want to know how to prepare …
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**Submitting author:** @mprib (Donald Prible)
**Repository:** https://github.com/mprib/caliscope
**Branch with paper.md** (empty if default branch):
**Version:** v0.5.0
**Editor:** @mooniean
**Review…
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Hi.
when I
python -m mhmocap.predict_mupots --configs_yml D:\Seesea\human\sa-3d-mh\configs\predict_mupots.yml --ts_id 1 --num_iter 100 --output_path D:\Seesea\human\sa-3d-mh\data\mupots-3d-eval\…