Auto-Conditioned LSTM Network for Extended Complex Human Motion Synthesis Auto-Conditioned LSTM Network for Extended Complex Human Motion Synthesis
Paper summary Problem ---------- Motion prediction Dataset ---------- CMU Approach -------------- auto-conditioned LSTM - an LSTM network that uses only fraction of the input timestamps, but all of the outputs (a little bit similar to keyframes). https://image.ibb.co/nimSs5/acLSTM.png Video -------- https://www.youtube.com/watch?v=AWlpNeOzMig
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Auto-Conditioned LSTM Network for Extended Complex Human Motion Synthesis
Zimo Li and Yi Zhou and Shuangjiu Xiao and Chong He and Hao Li
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG

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