CM-AVAE: Cross-Modal Adversarial Variational Autoencoder for Visual-to-Tactile Data Generation-Reference-Cited by-同舟云学术

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CM-AVAE: Cross-Modal Adversarial Variational Autoencoder for Visual-to-Tactile Data Generation

Published:2024-06 Issue:6 Volume:9 Page:5214-5221
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Xi Qiyuan¹^ORCID,Wang Fei¹^ORCID,Tao Liangze¹^ORCID,Zhang Hanjing¹^ORCID,Jiang Xun¹^ORCID,Wu Juan¹^ORCID

Affiliation:

1. School of Instrument Science and Engineering, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10504377/10496176.pdf?arnumber=10496176

Reference35 articles.

1. Optical-to-Tactile Image Conversion for the Blind

2. Shape-independent hardness estimation using deep learning and a GelSight tactile sensor

3. Real-time Video Prediction Using GANs With Guidance Information for Time-delayed Robot Teleoperation

4. Touching a nerf: Leveraging neural radiance fields for tactile sensory data generation;Zhong,2023

5. Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning

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