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[KİTAP][B] Synthetic data for deep learning
SI Nikolenko - 2021 - Springer
You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …
anymore? Anyway, you are reading this, and it means that I have managed to release one of …
Survey on depth and RGB image-based 3D hand shape and pose estimation
L Huang, B Zhang, Z Guo, Y ** field: Learning implicit representations for human grasps
Robotic gras** of house-hold objects has made remarkable progress in recent years. Yet,
human grasps are still difficult to synthesize realistically. There are several key reasons:(1) …
human grasps are still difficult to synthesize realistically. There are several key reasons:(1) …
Pushing the envelope for rgb-based dense 3d hand pose estimation via neural rendering
Estimating 3D hand meshes from single RGB images is challenging, due to intrinsic 2D-3D
map** ambiguities and limited training data. We adopt a compact parametric 3D hand …
map** ambiguities and limited training data. We adopt a compact parametric 3D hand …
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 …
Weakly-supervised domain adaptation via gan and mesh model for estimating 3d hand poses interacting objects
Despite recent successes in hand pose estimation, there yet remain challenges on RGB-
based 3D hand pose estimation (HPE) under hand-object interaction (HOI) scenarios where …
based 3D hand pose estimation (HPE) under hand-object interaction (HOI) scenarios where …
Meta agent teaming active learning for pose estimation
The existing pose estimation approaches often require a large number of annotated images
to attain good estimation performance, which are laborious to acquire. To reduce the human …
to attain good estimation performance, which are laborious to acquire. To reduce the human …