Human Dynamics
18 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Human Dynamics
TikTok Dataset
Latest papers
Behavior-Driven Synthesis of Human Dynamics
CompVis/behavior-driven-video-synthesis
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CVPR 2021
Using this representation, we are able to change the behavior of a person depicted in an arbitrary posture, or to even directly transfer behavior observed in a given video sequence.
Contact and Human Dynamics from Monocular Video
davrempe/contact-human-dynamics
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ECCV 2020
Existing deep models predict 2D and 3D kinematic poses from video that are approximately accurate, but contain visible errors that violate physical constraints, such as feet penetrating the ground and bodies leaning at extreme angles.
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.
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.
Action-Agnostic Human Pose Forecasting
eddyhkchiu/pose_forecast_wacv
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In this paper, we propose a new action-agnostic method for short- and long-term human pose forecasting.
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
We propose to (i) rethink pairwise interactions with a self-attention mechanism, and (ii) jointly model Human-Robot as well as Human-Human interactions in the deep reinforcement learning framework.
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
xcyan/eccv18_mtvae
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ECCV 2018
Our model jointly learns a feature embedding for motion modes (that the motion sequence can be reconstructed from) and a feature transformation that represents the transition of one motion mode to the next motion mode.
Convolutional Sequence to Sequence Model for Human Dynamics
chaneyddtt/Convolutional-Sequence-to-Sequence-Model-for-Human-Dynamics
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CVPR 2018
Human motion modeling is a classic problem in computer vision and graphics.
