3D Human Dynamics
5 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
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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.
AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling
facebookresearch/AutoAvatar
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In this work, for the first time, we enable autoregressive modeling of implicit avatars.
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
This paper addresses a novel task of anticipating 3D human-object interactions (HOIs).
