Deephuman: 3d human reconstruction from a single image
We propose DeepHuman, an image-guided volume-to-volume translation CNN for 3D
human reconstruction from a single RGB image. To reduce the ambiguities associated with …
human reconstruction from a single RGB image. To reduce the ambiguities associated with …
Wearable augmented reality: research trends and future directions from three major venues
TTM Tran, S Brown, O Weidlich… - … on Visualization and …, 2023 - ieeexplore.ieee.org
Wearable Augmented Reality (AR) has attracted considerable attention in recent years, as
evidenced by the growing number of research publications and industry investments. With …
evidenced by the growing number of research publications and industry investments. With …
Scene-aware egocentric 3d human pose estimation
Egocentric 3D human pose estimation with a single head-mounted fisheye camera has
recently attracted attention due to its numerous applications in virtual and augmented reality …
recently attracted attention due to its numerous applications in virtual and augmented reality …
Learning speech-driven 3d conversational gestures from video
We propose the first approach to synthesize the synchronous 3D conversational body and
hand gestures, as well as 3D face and head animations, of a virtual character from speech …
hand gestures, as well as 3D face and head animations, of a virtual character from speech …
Unrealego: A new dataset for robust egocentric 3d human motion capture
We present UnrealEgo, ie, a new large-scale naturalistic dataset for egocentric 3D human
pose estimation. UnrealEgo is based on an advanced concept of eyeglasses equipped with …
pose estimation. UnrealEgo is based on an advanced concept of eyeglasses equipped with …
Estimating egocentric 3d human pose in global space
Egocentric 3D human pose estimation using a single fisheye camera has become popular
recently as it allows capturing a wide range of daily activities in unconstrained environments …
recently as it allows capturing a wide range of daily activities in unconstrained environments …
Real-time human motion capture based on wearable inertial sensor networks
Wearable inertial motion capture, a new type of motion capture technology, mainly estimates
the human posture in 3-D space through multisensor data fusion. The available method for …
the human posture in 3-D space through multisensor data fusion. The available method for …
Out-of-domain human mesh reconstruction via dynamic bilevel online adaptation
We consider a new problem of adapting a human mesh reconstruction model to out-of-
domain streaming videos, where the performance of existing SMPL-based models is …
domain streaming videos, where the performance of existing SMPL-based models is …
Estimating egocentric 3d human pose in the wild with external weak supervision
Egocentric 3D human pose estimation with a single fisheye camera has drawn a significant
amount of attention recently. However, existing methods struggle with pose estimation from …
amount of attention recently. However, existing methods struggle with pose estimation from …
Egoglass: Egocentric-view human pose estimation from an eyeglass frame
We present a new approach, EgoGlass, towards egocentric motion-capture and human
pose estimation. EgoGlass is a lightweight eyeglass frame with two cameras mounted on it …
pose estimation. EgoGlass is a lightweight eyeglass frame with two cameras mounted on it …