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Motion Capture

77 papers with code · Computer Vision

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Greatest papers with code

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

CVPR 2020 google-research/google-research

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

1 Jul 2019rwightman/pytorch-image-models

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.

3D HUMAN POSE ESTIMATION MOTION CAPTURE

Unsupervised learning with sparse space-and-time autoencoders

26 Nov 2018facebookresearch/SparseConvNet

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

19 Aug 2020facebookresearch/frankmocap

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 3D POSE ESTIMATION MOTION CAPTURE

Scalable Gradients for Stochastic Differential Equations

5 Jan 2020google-research/torchsde

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

MOTION CAPTURE VARIATIONAL INFERENCE VIDEO PREDICTION

Neural Relational Inference for Interacting Systems

ICML 2018 ethanfetaya/nri

Interacting systems are prevalent in nature, from dynamical systems in physics to complex societal dynamics.

MOTION CAPTURE

Skeleton-Aware Networks for Deep Motion Retargeting

12 May 2020DeepMotionEditing/deep-motion-editing

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.

MOTION CAPTURE MOTION RETARGETING MOTION SYNTHESIS