TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation-Reference-Cited by-同舟云学术

TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Chen Hanzhi¹,Manhardt Fabian²,Navab Nassir¹,Busam Benjamin¹

Affiliation:

1. Technical University of Munich

2. Google Inc.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203513.pdf?arnumber=10203513

Reference60 articles.

1. HOnnotate: A Method for 3D Annotation of Hand and Object Poses

2. Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors

3. CertainNet: Sampling-Free Uncertainty Estimation for Object Detection

4. iNeRF: Inverting Neural Radiance Fields for Pose Estimation

5. and Xenophon Zabulis. T-LESS: an RGB-D dataset for 6d pose estimation of texture-less objects. In;hodan;2017 IEEE Winter Conference on Applications of Computer Vision WACV 2017 Santa Rosa CA USA March 24-31 2017,2017

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