Motion Capture

109 papers with code • 0 benchmarks • 18 datasets

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Greatest papers with code

KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects

google-research/google-research CVPR 2020

We address two problems: first, we establish an easy method for capturing and labeling 3D keypoints on desktop objects with an RGB camera; and second, we develop a deep neural network, called $KeyPose$, that learns to accurately predict object poses using 3D keypoints, from stereo input, and works even for transparent objects.

3D Pose Estimation Motion Capture

XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera

rwightman/pytorch-image-models 1 Jul 2019

The first stage is a convolutional neural network (CNN) that estimates 2D and 3D pose features along with identity assignments for all visible joints of all individuals. We contribute a new architecture for this CNN, called SelecSLS Net, that uses novel selective long and short range skip connections to improve the information flow allowing for a drastically faster network without compromising accuracy.

Monocular 3D Human Pose Estimation Motion Capture

Local motion phases for learning multi-contact character movements

sebastianstarke/AI4Animation 10/06 2020

Training a bipedal character to play basketball and interact with objects, or a quadruped character to move in various locomotion modes, are difficult tasks due to the fast and complex contacts happening during the motion.

Motion Capture

Unsupervised learning with sparse space-and-time autoencoders

facebookresearch/SparseConvNet 26 Nov 2018

We use spatially-sparse two, three and four dimensional convolutional autoencoder networks to model sparse structures in 2D space, 3D space, and 3+1=4 dimensional space-time.

Handwriting Recognition Motion Capture

FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration

facebookresearch/frankmocap 19 Aug 2020

To construct FrankMocap, we build the state-of-the-art monocular 3D "hand" motion capture method by taking the hand part of the whole body parametric model (SMPL-X).

3D Hand Pose Estimation 3D Human Reconstruction +2

Human3.6m: Large scale datasets and predictive methods for 3D human sensing in natural environments

open-mmlab/mmpose IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 36 , Issue: 7 , July 2014 ) 2013

We introduce a new dataset, Human3. 6M, of 3. 6 Million accurate 3D Human poses, acquired by recording the performance of 5 female and 6 male subjects, under 4 different viewpoints, for training realistic human sensing systems and for evaluating the next generation of human pose estimation models and algorithms.

3D Human Pose Estimation Mixed Reality +1

Scalable Gradients for Stochastic Differential Equations

google-research/torchsde 5 Jan 2020

The adjoint sensitivity method scalably computes gradients of solutions to ordinary differential equations.

Motion Capture Variational Inference +1

Skeleton-Aware Networks for Deep Motion Retargeting

DeepMotionEditing/deep-motion-editing 12 May 2020

In other words, our operators form the building blocks of a new deep motion processing framework that embeds the motion into a common latent space, shared by a collection of homeomorphic skeletons.

Hierarchical structure Motion Capture +2