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State of the art in dense monocular non‐rigid 3D reconstruction
Abstract 3D reconstruction of deformable (or non‐rigid) scenes from a set of monocular 2D
image observations is a long‐standing and actively researched area of computer vision and …
image observations is a long‐standing and actively researched area of computer vision and …
Model-based 3d hand reconstruction via self-supervised learning
Reconstructing a 3D hand from a single-view RGB image is challenging due to various hand
configurations and depth ambiguity. To reliably reconstruct a 3D hand from a monocular …
configurations and depth ambiguity. To reliably reconstruct a 3D hand from a monocular …
Artiboost: Boosting articulated 3d hand-object pose estimation via online exploration and synthesis
Estimating the articulated 3D hand-object pose from a single RGB image is a highly
ambiguous and challenging problem, requiring large-scale datasets that contain diverse …
ambiguous and challenging problem, requiring large-scale datasets that contain diverse …
Alignsdf: Pose-aligned signed distance fields for hand-object reconstruction
Recent work achieved impressive progress towards joint reconstruction of hands and
manipulated objects from monocular color images. Existing methods focus on two …
manipulated objects from monocular color images. Existing methods focus on two …
Towards accurate alignment in real-time 3d hand-mesh reconstruction
Abstract 3D hand-mesh reconstruction from RGB images facilitates many applications,
including augmented reality (AR). However, this requires not only real-time speed and …
including augmented reality (AR). However, this requires not only real-time speed and …
Hand avatar: Free-pose hand animation and rendering from monocular video
We present HandAvatar, a novel representation for hand animation and rendering, which
can generate smoothly compositional geometry and self-occlusion-aware texture …
can generate smoothly compositional geometry and self-occlusion-aware texture …
Driving-signal aware full-body avatars
We present a learning-based method for building driving-signal aware full-body avatars. Our
model is a conditional variational autoencoder that can be animated with incomplete driving …
model is a conditional variational autoencoder that can be animated with incomplete driving …
3d interacting hand pose estimation by hand de-occlusion and removal
Estimating 3D interacting hand pose from a single RGB image is essential for understanding
human actions. Unlike most previous works that directly predict the 3D poses of two …
human actions. Unlike most previous works that directly predict the 3D poses of two …
Challenges and solutions for vision-based hand gesture interpretation: A review
Hand gesture is one of the most efficient and natural interfaces in current human–computer
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …
Ohta: One-shot hand avatar via data-driven implicit priors
In this paper we delve into the creation of one-shot hand avatars attaining high-fidelity and
drivable hand representations swiftly from a single image. With the burgeoning domains of …
drivable hand representations swiftly from a single image. With the burgeoning domains of …