Libin Liu

Orcid: 0000-0003-2280-6817

Affiliations:

Peking University, Center on Frontiers of Computing Studies, Beijing, China
DeepMotion Inc., Redwood City, CA, USA
Disney Research, Pittsburgh, PA, USA
University of British Columbia, Vancouver, BC, Canada
Tsinghua University, Beijing, China (PhD 2014)

According to our database¹, Libin Liu authored at least 26 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

BAGS: Building Animatable Gaussian Splatting from a Monocular Video with Diffusion Priors.

[BibT_eX]

[DOI]

CoRR, 2024

Cinematographic Camera Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2024

2023

GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents.

[BibT_eX]

[DOI]

Tenglong Ao

Zeyi Zhang

Libin Liu

ACM Trans. Graph., August, 2023

MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete Representations.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data.

[BibT_eX]

[DOI]

CoRR, 2023

MuscleVAE: Model-Based Controllers of Muscle-Actuated Characters.

[BibT_eX]

[DOI]

Yusen Feng

Xiyan Xu

Libin Liu

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

MotionBERT: A Unified Perspective on Learning Human Motion Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Neural3Points: Learning to Generate Physically Realistic Full-body Motion for Virtual Reality Users.

[BibT_eX]

[DOI]

Comput. Graph. Forum, December, 2022

ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2022

Learning to use chopsticks in diverse gripping styles.

[BibT_eX]

[DOI]

Zeshi Yang

KangKang Yin

Libin Liu

ACM Trans. Graph., 2022

Rhythmic Gesticulator: Rhythm-Aware Co-Speech Gesture Synthesis with Hierarchical Neural Embeddings.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2022

MotionBERT: Unified Pretraining for Human Motion Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Use Chopsticks in Diverse Styles.

[BibT_eX]

[DOI]

Zeshi Yang

KangKang Yin

Libin Liu

CoRR, 2022

2021

Learning skeletal articulations with neural blend shapes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Camera keyframing with style and control.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Unsupervised Co-part Segmentation through Assembly.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2018

Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning.

[BibT_eX]

[DOI]

Libin Liu

Jessica K. Hodgins

ACM Trans. Graph., 2018

2017

Learning to Schedule Control Fragments for Physics-Based Characters Using Deep Q-Learning.

[BibT_eX]

[DOI]

Libin Liu

Jessica K. Hodgins

ACM Trans. Graph., 2017

2016

Guided Learning of Control Graphs for Physics-Based Characters.

[BibT_eX]

[DOI]

Libin Liu

Michiel van de Panne

KangKang Yin

ACM Trans. Graph., 2016

2015

Deformation capture and modeling of soft objects.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2015

Improving Sampling-based Motion Control.

[BibT_eX]

[DOI]

Libin Liu

KangKang Yin

Baining Guo

Comput. Graph. Forum, 2015

Learning reduced-order feedback policies for motion skills.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2015

2013

Simulation and control of skeleton-driven soft body characters.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2013

2012

Terrain runner: control, parameterization, composition, and planning for highly dynamic motions.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2012

2010

Sampling-based contact-rich motion control.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2010

Libin Liu

Timeline

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Online presence:

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