Search Results for author:
Found 9 papers, 8 papers with code
Generalizable Human Gaussians from Single-View Image
To this end, we propose single-view generalizable Human Gaussian model (HGM), a diffusion-guided framework for 3D human modeling from a single image.
Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption
Specifically, we first design a latent representation based on Vector Quantised-Variational AutoEncoder (VQ-VAE) to model human interaction.
CrowdRec: 3D Crowd Reconstruction from Single Color Images
To promote a more reasonable spatial distribution, we further propose a crowd constraint to refine the single-person network parameters.
Reconstructing Groups of People with Hypergraph Relational Reasoning
To address the obstacles, we fully exploit crowd features for reconstructing groups of people from a monocular image.
Physics-Guided Human Motion Capture with Pose Probability Modeling
To address the obstacles, our key-idea is to employ physics as denoising guidance in the reverse diffusion process to reconstruct physically plausible human motion from a modeled pose probability distribution.
Synthesizing Physically Plausible Human Motions in 3D Scenes
Experimental results demonstrate that our framework can synthesize physically plausible long-term human motions in complex 3D scenes.
Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior
To address the obstacles, our key-idea is to employ non-occluded human data to learn a joint-level spatial-temporal motion prior for occluded human with a self-supervised strategy.
Ranked #2 on
Unsupervised 3D Human Pose Estimation
on Human3.6M
3D Human Pose Estimation
Unsupervised 3D Human Pose Estimation
Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture
Our key-idea is to use real physical supervisions to train a target pose distribution prior for sampling-based motion control to capture physically plausible human motion.
Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View Cameras
Dynamic multi-person mesh recovery has been a hot topic in 3D vision recently.
