ReCell: replicating recurrent cell for auto-regressive pose generation

被引：3
|
作者：
Korzun, Vladislav [1 ,2 ]
Beloborodova, Anna [1 ,2 ]
Ilin, Arkady [2 ,3 ]
机构：
[1] Moscow Inst Phys & Technol, Moscow, Russia
[2] Tinkof, Moscow, Russia
[3] Skolkovo Inst Sci & Technol, Moscow, Russia
来源：
COMPANION PUBLICATION OF THE 2022 INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ICMI 2022 | 2022年
关键词：
embodied agents; neural networks; gesture generation; social robotics; deep learning;
D O I：
10.1145/3536220.3558801
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes FineMotion's gesture generating system entry for the GENEA Challenge 2022. Our system is based on auto-regressive approach imitating recurrent cell. Combined with a special windowed auto-encoder and training approach this system generates plausible gestures appropriate to input speech.
引用
收藏
页码：94 / 97
页数：4
相关论文
共 50 条
  • [1] Locally Hierarchical Auto-Regressive Modeling for Image Generation
    You, Tackgeun
    Kim, Saehoon
    Kim, Chiheon
    Lee, Doyup
    Han, Bohyung
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,
  • [2] Revisit the Scalability of Deep Auto-Regressive Models for Graph Generation
    Yang, Shuai
    Shen, Xipeng
    Lim, Seung-Hwan
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [3] The tensor auto-regressive model
    Hill, Chelsey
    Li, James
    Schneider, Matthew J.
    Wells, Martin T.
    JOURNAL OF FORECASTING, 2021, 40 (04) : 636 - 652
  • [4] Practical generation of video textures using the auto-regressive process
    Campbell, N
    Dalton, C
    Gibson, D
    Oziem, D
    Thomas, B
    IMAGE AND VISION COMPUTING, 2004, 22 (10) : 819 - 827
  • [5] SCAT: Stride Consistency with Auto-regressive regressor and Transformer for hand pose estimation
    Gao, Daiheng
    Zhang, Bang
    Wang, Qi
    Zhang, Xindi
    Pan, Pan
    Xu, Yinghui
    2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021), 2021, : 2266 - 2275
  • [6] ESTIMATION AND FORECASTING IN AUTO-REGRESSIVE MODELS
    MALINVAUD, E
    ECONOMETRICA, 1962, 30 (01) : 198 - 201
  • [7] Auto-regressive extractive summarization with replacement
    Zhu, Tianyu
    Hua, Wen
    Qu, Jianfeng
    Hosseini, Saeid
    Zhou, Xiaofang
    WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2023, 26 (04): : 2003 - 2026
  • [8] Load Prediction in Edge Computing Using Deep Auto-Regressive Recurrent Networks
    Liu, Zhanghui
    Chen, Lixian
    Chen, Zheyi
    Huang, Yifan
    Liang, Jie
    Yu, Zhengxin
    Miao, Wang
    ICC 2023-IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2023, : 809 - 814
  • [9] Estimation of the order of an auto-regressive model
    Rao, NS
    Moharir, PS
    SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 1995, 20 : 749 - 758
  • [10] Memory-Augmented Auto-Regressive Network for Frame Recurrent Inter Prediction
    Hu, Yuzhang
    Xia, Sifeng
    Yang, Wenhan
    Liu, Jiaying
    2020 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2020,
12345