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## 一言でいうと
街中での人検出に適した手法の提案。具体的には低解像度の画像から重なりがある状態での検知に挑戦している。キーポイントの位置を推定するPIFとつながりを推定するPAFの2つを出力するが、前者は単一点でなく分布、後者は直接接続でなく接続点予測という形で推定を行っている
PIF
![image](https://user-images.githubuserconten…
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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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I am concerned that there are related content about human pose estimation in your demo video, but I cannot find any complete project examples using DVS data for human pose estimation. Where can I find…
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1.TexturePose: Supervising Human Mesh Estimation with Texture Consistency(2019)
Texture map (texel): A corresponding UVmap un-warps the template surface onto an image, A, which is the texture map
co…
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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.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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> The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking
# Reference
- [ ] [Github repo](https://github.com/Microsoft/human-pose-est…
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# 3D Human Pose Estimation = 2D Pose Estimation + Matching #
- Author: Ching-Hang Chen, Deva Ramanan
- Origin: [https://arxiv.org/abs/1612.06524](https://arxiv.org/abs/1612.06524)
- Related:
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https://www.youtube.com/watch?v=Dhkd_bAwwMc&feature=youtu.be
'human pose estimation' - I'm assuming this would have required an extensive training set (like marking the limbs with ellipsoids perhap…