Science
Meshcapade takes the scientific understanding of human body
and brings it to you using patented technology.
Want to join our research team? Look at our open positions.
Our Publications
![ChatPose Cover](/images/science/chat-pose.png)
![Token HMR Cover](/images/science/token-hmr.png)
TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
CVPR 2024
![AMASS Cover](/images/science/amass.png)
Other selected publications by Meshcapade scientists
Naureen Mahmood
SMPL: A skinned multi-person linear model
ACM transactions on graphics (TOG) 34 (6), 1-16, 2015
MoSh: Motion and shape capture from sparse markers
ACM Transactions on Graphics (TOG) 33 (6), 1-13, 2014
Dyna: A model of dynamic human shape in motion
ACM Transactions on Graphics (TOG) 34 (4), 1-14, 2015
Muhammed Kocabas
Yu Sun
TRACE: 5D Temporal Regression of Avatars With Dynamic Cameras in 3D Environments
CVPR 2023
Putting People in their Place: Monocular Regression of 3D People in Depth
CVPR 2022
Yan Zhang
Yao Feng
Learning an animatable detailed 3D face model from in-the-wild images
SIGGRAPH 2021
MeshDiffusion: Score-based generative 3D mesh modeling
Capturing and animation of body and clothing from monocular video
Siggraph Asia 2022
Radu Alexandru Rosu
Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images
ECCV 2022
PermutoSDF: Fast Multi-View Reconstruction with Implicit Surfaces using Permutohedral Lattices
CVPR 2023
Nitin Saini
SmartMocap: Joint Estimation of Human and Camera Motion Using Uncalibrated RGB Cameras
IEEE Robotics and Automation Letters, 8(6):3206-3213, 2023
AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation
IEEE Robotics and Automation Letters, 7(2):4805-4812, IEEE, April 2022
AirCapRL: Autonomous Aerial Human Motion Capture Using Deep Reinforcement Learning
IEEE Robotics and Automation Letters, 7(2):4805-4812, IEEE, April 2022
Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles
ICCV 219
Michael J. Black
Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
ECCV 2016
Embodied hands: Modeling and capturing hands and bodies together
ACM Transactions on Graphics, (Proc. SIGGRAPH Asia), 36(6):245:1-245:17, 245:1–245:17, ACM, November 2017
Learning a model of facial shape and expression from 4D scans
ACM Trans. Graph. 36 (6), 194:1-194:17, 2017
Recovering accurate 3D human pose in the wild using IMUs and a moving camera
ECCV 2018
Learning to reconstruct 3D human pose and shape via model-fitting in the loop
ICCV 2019
BEDLAM: A synthetic dataset of bodies exhibiting detailed lifelike animated motion
CVPR 2023