Search Results for author:
Found 6 papers, 2 papers with code
Weakly-Supervised 3D Reconstruction of Clothed Humans via Normal Maps
We present a novel deep learning-based approach to the 3D reconstruction of clothed humans using weak supervision via 2D normal maps.
Toward unlabeled multi-view 3D pedestrian detection by generalizable AI: techniques and performance analysis
In this context, we investigate two approaches for automatically labeling target data: pseudo-labeling using a supervised detector and automatic labeling using an untrained detector (that can be applied out of the box without any training).
PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation
We propose a new 2D pose refinement network that learns to predict the human bias in the estimated 2D pose.
Ranked #67 on
3D Human Pose Estimation
on Human3.6M
TetraTSDF: 3D human reconstruction from a single image with a tetrahedral outer shell
In this paper, we propose the tetrahedral outer shell volumetric truncated signed distance function (TetraTSDF) model for the human body, and its corresponding part connection network (PCN) for 3D human body shape regression.
Real-time Simultaneous 3D Head Modeling and Facial Motion Capture with an RGB-D camera
We propose a method to build in real-time animated 3D head models using a consumer-grade RGB-D camera.
Augmented Blendshapes for Real-Time Simultaneous 3D Head Modeling and Facial Motion Capture
Our framework is the first one to provide simultaneously comprehensive facial motion tracking and a detailed 3D model of the user's head.
