3D Interacting Hand Pose Estimation
11 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in 3D Interacting Hand Pose Estimation
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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InterHand2.6M
Most implemented papers
InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image
open-mmlab/mmpose
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ECCV 2020
Therefore, we firstly propose (1) a large-scale dataset, InterHand2. 6M, and (2) a baseline network, InterNet, for 3D interacting hand pose estimation from a single RGB image.
Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation
shreyashampali/kypt_transformer
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CVPR 2022
We propose a robust and accurate method for estimating the 3D poses of two hands in close interaction from a single color image.
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
zc-alexfan/digit-interacting
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In natural conversation and interaction, our hands often overlap or are in contact with each other.
Interacting Attention Graph for Single Image Two-Hand Reconstruction
dw1010/intaghand
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CVPR 2022
To solve occlusion and interaction challenges of two-hand reconstruction, we introduce two novel attention based modules in each upsampling step of the original GCN.
3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal
menghao666/hdr
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Unlike most previous works that directly predict the 3D poses of two interacting hands simultaneously, we propose to decompose the challenging interacting hand pose estimation task and estimate the pose of each hand separately.
Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image
pengfeiren96/dir
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ICCV 2023
On the other hand, there are complex spatial relationship between interacting hands, which significantly increases the solution space of hand poses and increases the difficulty of network learning.
ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction
zhengdiyu/arbitrary-hands-3d-reconstruction
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CVPR 2023
Our method significantly outperforms the best interacting-hand approaches on the InterHand2. 6M dataset while yielding comparable performance with the state-of-the-art single-hand methods on the FreiHand dataset.
A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image
changlongjianggit/a2j-transformer
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CVPR 2023
3D interacting hand pose estimation from a single RGB image is a challenging task, due to serious self-occlusion and inter-occlusion towards hands, confusing similar appearance patterns between 2 hands, ill-posed joint position mapping from 2D to 3D, etc.. To address these, we propose to extend A2J-the state-of-the-art depth-based 3D single hand pose estimation method-to RGB domain under interacting hand condition.
Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery
jkpark0825/eanet
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Our two novel tokens are from a combination of separated two hand features; hence, it is much more robust to the distant token problem.
RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
adwardlee/renderih
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ICCV 2023
The current interacting hand (IH) datasets are relatively simplistic in terms of background and texture, with hand joints being annotated by a machine annotator, which may result in inaccuracies, and the diversity of pose distribution is limited.
