3D Human Dynamics
3 papers with code • 0 benchmarks • 1 datasets
Image: Zhang et al
Benchmarks
These leaderboards are used to track progress in 3D Human Dynamics
InfiniteRep
Most implemented papers
Learning 3D Human Dynamics from Video
akanazawa/human_dynamics
•
•
CVPR 2019
We present a framework that can similarly learn a representation of 3D dynamics of humans from video via a simple but effective temporal encoding of image features.
Predicting 3D Human Dynamics from Video
In this work, we present perhaps the first approach for predicting a future 3D mesh model sequence of a person from past video input.
Dynamical Variational Autoencoders: A Comprehensive Review
Recently, a series of papers have presented different extensions of the VAE to process sequential data, which model not only the latent space but also the temporal dependencies within a sequence of data vectors and corresponding latent vectors, relying on recurrent neural networks or state-space models.
