Lu, Shunlin

7 publications

ICCV 2025 ARMO: Autoregressive Rigging for Multi-Category Objects Mingze Sun, Shiwei Mao, Keyi Chen, Yurun Chen, Shunlin Lu, Jingbo Wang, Junting Dong, Ruqi Huang

ICCV 2025 Go to Zero: Towards Zero-Shot Motion Generation with Million-Scale Data Ke Fan, Shunlin Lu, Minyue Dai, Runyi Yu, Lixing Xiao, Zhiyang Dou, Junting Dong, Lizhuang Ma, Jingbo Wang

ICCV 2025 MotionStreamer: Streaming Motion Generation via Diffusion-Based Autoregressive Model in Causal Latent Space Lixing Xiao, Shunlin Lu, Huaijin Pi, Ke Fan, Liang Pan, Yueer Zhou, Ziyong Feng, Xiaowei Zhou, Sida Peng, Jingbo Wang

CVPR 2025 ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model Shunlin Lu, Jingbo Wang, Zeyu Lu, Ling-Hao Chen, Wenxun Dai, Junting Dong, Zhiyang Dou, Bo Dai, Ruimao Zhang

ICML 2024 HumanTOMATO: Text-Aligned Whole-Body Motion Generation Shunlin Lu, Ling-Hao Chen, Ailing Zeng, Jing Lin, Ruimao Zhang, Lei Zhang, Heung-Yeung Shum

ICLR 2023 Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter Anthony Beerel

NeurIPS 2023 Motion-X: A Large-Scale 3D Expressive Whole-Body Human Motion Dataset Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang