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20182025
most citedPerpetual Motion: Generating Unbounded Human Motion

19 citations · 30 across the 4 of their papers we have counts for

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12 papers · 1 filter

cs.CV2025

SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos

Yuxin Yao, Yan Zhang, Zhening Huang +1

Dynamic videos with small baseline motions are ubiquitous in daily life, especially on social media. However, these videos present a challenge to existing pose estimation framework…

cs.CV2024

Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories

Yan Zhang, Sergey Prokudin, Marko Mihajlovic +2

Understanding the dynamics of generic 3D scenes is fundamentally challenging in computer vision, essential in enhancing applications related to scene reconstruction, motion trackin…

cs.CV20214 cited

Learning Motion Priors for 4D Human Body Capture in 3D Scenes

Siwei Zhang, Yan Zhang, Federica Bogo +2

Recovering high-quality 3D human motion in complex scenes from monocular videos is important for many applications, ranging from AR/VR to robotics. However, capturing realistic hum…

cs.CV2021

LEAP: Learning Articulated Occupancy of People

Marko Mihajlovic, Yan Zhang, Michael J. Black +1

Substantial progress has been made on modeling rigid 3D objects using deep implicit representations. Yet, extending these methods to learn neural models of human shape is still in…

cs.CV20207 cited

We are More than Our Joints: Predicting how 3D Bodies Move

Yan Zhang, Michael J. Black, Siyu Tang

A key step towards understanding human behavior is the prediction of 3D human motion. Successful solutions have many applications in human tracking, HCI, and graphics. Most previou…

cs.CV2020

4D Human Body Capture from Egocentric Video via 3D Scene Grounding

Miao Liu, Dexin Yang, Yan Zhang +3

We introduce a novel task of reconstructing a time series of second-person 3D human body meshes from monocular egocentric videos. The unique viewpoint and rapid embodied camera mot…