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Found 9 papers, 4 papers with code
Social Diffusion: Long-term Multiple Human Motion Anticipation
We propose Social Diffusion, a novel method for short-term and long-term forecasting of the motion of multiple persons as well as their social interactions.
TAVA: Template-free Animatable Volumetric Actors
Since TAVA does not require a body template, it is applicable to humans as well as other creatures such as animals.
Intention-based Long-Term Human Motion Anticipation
Recently, a few works have been proposed to model the uncertainty of the future human motion.
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Human Pose Forecasting
on Human3.6M
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views
In this work we propose an approach for estimating 3D human poses of multiple people from a set of calibrated cameras.
ANR: Articulated Neural Rendering for Virtual Avatars
The combination of traditional rendering with neural networks in Deferred Neural Rendering (DNR) provides a compelling balance between computational complexity and realism of the resulting images.
Adversarial Synthesis of Human Pose from Text
This work focuses on synthesizing human poses from human-level text descriptions.
Bonn Activity Maps: Dataset Description
The key prerequisite for accessing the huge potential of current machine learning techniques is the availability of large databases that capture the complex relations of interest.
Human Motion Anticipation with Symbolic Label
We exploit this connection by first anticipating symbolic labels and then generate human motion, conditioned on the human motion input sequence as well as on the forecast labels.
BioTracker: An Open-Source Computer Vision Framework for Visual Animal Tracking
Here we introduce BioTracker, an open-source computer vision framework, that provides programmers with core functionalities that are essential parts of a tracking software, such as video I/O, graphics overlays and mouse and keyboard interfaces.
