MPE4G : Multimodal Pretrained Encoder for Co-Speech Gesture Generation-Reference-Cited by-同舟云学术

MPE4G : Multimodal Pretrained Encoder for Co-Speech Gesture Generation

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
Short-container-title:

Author:

Kim Gwantae¹,Noh Seonghyeok¹,Ham Insung¹,Ko Hanseok¹

Affiliation:

1. Korea University,School of Electrical Engineering,Seoul,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095344.pdf?arnumber=10095344

Reference31 articles.

1. Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates

2. Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation

3. Openpose: Realtime multi-person 2d pose estimation using part affinity fields;cao;IEEE Transactions on Pattern Analysis and Machine Intelligence,2019

4. Attention is all you need;vaswani;Advances in neural information processing systems,2017

5. Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions

Cited by 4 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. A dynamic condition-based maintenance policy for heterogeneous-wearing tools with considering product quality deterioration;International Journal of Production Research;2024-02-29

2. The GENEA Challenge 2023: A large-scale evaluation of gesture generation models in monadic and dyadic settings;INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION;2023-10-09

3. Co-Speech Gesture Generation via Audio and Text Feature Engineering;International Cconference on Multimodal Interaction;2023-10-09

4. The KU-ISPL entry to the GENEA Challenge 2023-A Diffusion Model for Co-speech Gesture generation;International Cconference on Multimodal Interaction;2023-10-09