Search Results for author:
Found 4 papers, 1 papers with code
CG-HOI: Contact-Guided 3D Human-Object Interaction Generation
Using this guidance to bridge human and object motion enables generating more realistic and physically plausible interaction sequences, where the human body and corresponding object move in a coherent manner.
Human-Object Interaction Detection
Human-Object Interaction Generation
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FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations
Thus, we design our method to only require 2D RGB data while being able to generate 3D human motion sequences.
Forecasting Characteristic 3D Poses of Human Actions
To predict characteristic poses, we propose a probabilistic approach that models the possible multi-modality in the distribution of likely characteristic poses.
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
We present a novel approach that converts partial and noisy RGB-D scans into high-quality 3D scene reconstructions by inferring unobserved scene geometry.
