HumanMAC: Masked Motion Completion for Human Motion Prediction

1 code implementation • ICCV 2023 • Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu

In the training stage, we learn a motion diffusion model that generates motions from random noise.

Denoising Human motion prediction +1

Pluralistic Image Completion with Probabilistic Mixture-of-Experts

no code implementations • 18 May 2022 • Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu

Second, the constraints for diversity are designed to be task-agnostic, which causes the constraints to not work well.

Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network

1 code implementation • 30 Jun 2021 • Zhibin Duan, Dongsheng Wang, Bo Chen, Chaojie Wang, Wenchao Chen, Yewen Li, Jie Ren, Mingyuan Zhou

However, they often assume in the prior that the topics at each layer are independently drawn from the Dirichlet distribution, ignoring the dependencies between the topics both at the same layer and across different layers.

Topic Models Variational Inference

Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning

1 code implementation • 19 Apr 2021 • Jie Ren, Yewen Li, Zihan Ding, Wei Pan, Hao Dong

However, grasping distinguishable skills for some tasks with non-unique optima can be essential for further improving its learning efficiency and performance, which may lead to a multimodal policy represented as a mixture-of-experts (MOE).

reinforcement-learning Reinforcement Learning (RL)