RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation-Reference-Cited by-同舟云学术

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RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Li Lijun¹,Tian Linrui¹,Zhang Xindi¹,Wang Qi¹,Zhang Bang¹,Bo Liefeng¹,Liu Mengyuan²,Chen Chen³

Affiliation:

1. Alibaba Group

2. Peking University,Key Laboratory of Machine Perception, Shenzhen Graduate School

3. University of Central Florida,Center for Research in Computer Vision

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377523.pdf?arnumber=10377523

Reference41 articles.

1. ContactPose: A Dataset of Grasps with Object Contact and Hand Pose

2. DexYCB: A Benchmark for Capturing Hand Grasping of Objects

3. MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation

4. Learning To Disambiguate Strongly Interacting Hands via Probabilistic Per-Pixel Part Segmentation

5. ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Challenges and solutions for vision-based hand gesture interpretation: A review;Computer Vision and Image Understanding;2024-11

2. Accurate and Real-Time Variant Hand Pose Estimation Based on Gray Code Bounding Box Representation;IEEE Sensors Journal;2024-06-01

3. Deep learning approaches for seizure video analysis: A review;Epilepsy & Behavior;2024-05

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