Human motion capture either requires multi-camera systems or is unreliable using single-view input due to depth ambiguities. Meanwhile, mirrors are readily available in urban environments and form an affordable alternative by recording two views with only a single camera. However, the mirror setting poses the additional challenge of handling occlusions of real and mirror image. Going beyond existing mirror approaches for 3D human pose estimation, we utilize mirrors for learning a complete body model, including shape and dense appearance. Our main contributions are extending articulated neural radiance fields to include a notion of a mirror, making it sample-efficient over potential occlusion regions. Together, our contributions realize a co...
High-fidelity human 3D models can now be learned directly from videos, typically by combining a temp...
Human pose estimation aims to locate the human body parts and build human body representation (e.g.,...
Recording real life human motion as a skinned mesh animation with an acceptable quality is usually d...
Inferring 3D human pose from 2D images is a challenging and long-standing problem in the field of co...
We propose embodied scene-aware human pose estimation where we estimate 3D poses based on a simulate...
Estimating human motion from video is an active research area due to its many potential applications...
We propose a CNN-based approach for multi-camera markerless motion capture of the human body. Unlike...
Humans are typically the central element in the majority of the visual content that we can access. U...
Estimating 3D human motion from an egocentric video sequence is critical to human behavior understan...
We propose a method for object-aware 3D egocentric pose estimation that tightly integrates kinematic...
We present the first marker-less approach for temporally coherent 3D performance capture of a human ...
The neural network based approach for 3D human pose estimation from monocular images has attracted g...
We present an innovative approach to 3D Human Pose Estimation (3D-HPE) by integrating cutting-edge d...
We propose a novel optimization-based paradigm for 3D human model fitting on images and scans. In co...
We present an approach to generating 3D human models from images. The key to our framework is that w...
High-fidelity human 3D models can now be learned directly from videos, typically by combining a temp...
Human pose estimation aims to locate the human body parts and build human body representation (e.g.,...
Recording real life human motion as a skinned mesh animation with an acceptable quality is usually d...
Inferring 3D human pose from 2D images is a challenging and long-standing problem in the field of co...
We propose embodied scene-aware human pose estimation where we estimate 3D poses based on a simulate...
Estimating human motion from video is an active research area due to its many potential applications...
We propose a CNN-based approach for multi-camera markerless motion capture of the human body. Unlike...
Humans are typically the central element in the majority of the visual content that we can access. U...
Estimating 3D human motion from an egocentric video sequence is critical to human behavior understan...
We propose a method for object-aware 3D egocentric pose estimation that tightly integrates kinematic...
We present the first marker-less approach for temporally coherent 3D performance capture of a human ...
The neural network based approach for 3D human pose estimation from monocular images has attracted g...
We present an innovative approach to 3D Human Pose Estimation (3D-HPE) by integrating cutting-edge d...
We propose a novel optimization-based paradigm for 3D human model fitting on images and scans. In co...
We present an approach to generating 3D human models from images. The key to our framework is that w...
High-fidelity human 3D models can now be learned directly from videos, typically by combining a temp...
Human pose estimation aims to locate the human body parts and build human body representation (e.g.,...
Recording real life human motion as a skinned mesh animation with an acceptable quality is usually d...
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