Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation-Reference-Cited by-同舟云学术

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Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Yazdian Payam Jome¹,Chen Mo¹,Lim Angelica¹

Affiliation:

1. Simon Fraser University,Burnaby,Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981117.pdf?arnumber=9981117

Reference72 articles.

1. Generating diverse high-fidelity images with vq-vae-2;razavi;NeurIPS,2019

2. Generating sentences from a continuous space;bowman;ArXiv,2015

3. Pixelcnn++: Improving the pixelcnn with discretized logistic mixture likelihood and other modifications;salimans;ICLRE,2017

4. Multi-objective adversarial gesture generation;ferstl;MIG,2019

5. Enriching Word Vectors with Subword Information

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1. An Automatic Grading Model for Semantic Complexity of English Texts Using Bidirectional Attention-Based Autoencoder;Journal of Circuits, Systems and Computers;2024-08-31

2. TAG2G: A Diffusion-Based Approach to Interlocutor-Aware Co-Speech Gesture Generation;Electronics;2024-08-24

3. Enhancing Reflective and Conversational User Engagement in Argumentative Dialogues with Virtual Agents;Multimodal Technologies and Interaction;2024-08-06

4. Semantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis;ACM Transactions on Graphics;2024-07-19

5. Evaluating Gesture Generation in a Large-scale Open Challenge: The GENEA Challenge 2022;ACM Transactions on Graphics;2024-06-23

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