Interdiff: Generating 3d human-object interactions with physics-informed diffusion
This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most
existing research on HOI synthesis lacks comprehensive whole-body interactions with …
existing research on HOI synthesis lacks comprehensive whole-body interactions with …
Avatars grow legs: Generating smooth human motion from sparse tracking inputs with diffusion model
With the recent surge in popularity of AR/VR applications, realistic and accurate control of
3D full-body avatars has become a highly demanded feature. A particular challenge is that …
3D full-body avatars has become a highly demanded feature. A particular challenge is that …
Questsim: Human motion tracking from sparse sensors with simulated avatars
Real-time tracking of human body motion is crucial for interactive and immersive
experiences in AR/VR. However, very limited sensor data about the body is available from …
experiences in AR/VR. However, very limited sensor data about the body is available from …
Emdb: The electromagnetic database of global 3d human pose and shape in the wild
We present EMDB, the Electromagnetic Database of Global 3D Human Pose and Shape in
the Wild. EMDB is a novel dataset that contains high-quality 3D SMPL pose and shape …
the Wild. EMDB is a novel dataset that contains high-quality 3D SMPL pose and shape …
Nymeria: A massive collection of multimodal egocentric daily motion in the wild
We introduce Nymeria-a large-scale, diverse, richly annotated human motion dataset
collected in the wild with multiple multimodal egocentric devices. The dataset comes with a) …
collected in the wild with multiple multimodal egocentric devices. The dataset comes with a) …
Transformer inertial poser: Real-time human motion reconstruction from sparse imus with simultaneous terrain generation
Real-time human motion reconstruction from a sparse set of (eg six) wearable IMUs
provides a non-intrusive and economic approach to motion capture. Without the ability to …
provides a non-intrusive and economic approach to motion capture. Without the ability to …
Egolocate: Real-time motion capture, localization, and map** with sparse body-mounted sensors
Human and environment sensing are two important topics in Computer Vision and Graphics.
Human motion is often captured by inertial sensors, while the environment is mostly …
Human motion is often captured by inertial sensors, while the environment is mostly …
Ultra inertial poser: Scalable motion capture and tracking from sparse inertial sensors and ultra-wideband ranging
While camera-based capture systems remain the gold standard for recording human motion,
learning-based tracking systems based on sparse wearable sensors are gaining popularity …
learning-based tracking systems based on sparse wearable sensors are gaining popularity …
Bodiffusion: Diffusing sparse observations for full-body human motion synthesis
Mixed reality applications require tracking the user's full-body motion to enable an
immersive experience. However, typical head-mounted devices can only track head and …
immersive experience. However, typical head-mounted devices can only track head and …
MANIKIN: biomechanically accurate neural inverse kinematics for human motion estimation
Mixed Reality systems aim to estimate a user's full-body joint configurations from just the
pose of the end effectors, primarily head and hand poses. Existing methods often involve …
pose of the end effectors, primarily head and hand poses. Existing methods often involve …