Pose Retrieval
9 papers with code • 2 benchmarks • 2 datasets
Retrieval of similar human poses from images or videos
Human3.6M
MPI-INF-3DHP
Latest papers
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans
stefan-ainetter/SCANnotateDataset
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We present an automated and efficient approach for retrieving high-quality CAD models of objects and their poses in a scene captured by a moving RGB-D camera.
Automatically Annotating Indoor Images with CAD Models via RGB-D Scans
stefan-ainetter/SCANnotateDataset
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We present an automatic method for annotating images of indoor scenes with the CAD models of the objects by relying on RGB-D scans.
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation
gkouros/contrastive-pose-retrieval
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In both cases, the idea is to directly predict the pose of an object.
TriBERT: Human-centric Audio-visual Representation Learning
ubc-vision/tribert
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NeurIPS 2021
In this work, we introduce TriBERT -- a transformer-based architecture, inspired by ViLBERT, which enables contextual feature learning across three modalities: vision, pose, and audio, with the use of flexible co-attention.
TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation
In this work, we introduce TriBERT -- a transformer-based architecture, inspired by ViLBERT, which enables contextual feature learning across three modalities: vision, pose, and audio, with the use of flexible co-attention.
PanopTOP: a framework for generating viewpoint-invariant human pose estimation datasets
mmlab-cv/PanopTOP
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ICCV 2021 2021
Human pose estimation (HPE) from RGB and depth images has recently experienced a push for viewpoint-invariant and scale-invariant pose retrieval methods.
Transfer Learning for Pose Estimation of Illustrated Characters
ShuhongChen/bizarre-pose-estimator
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Likewise, a pose estimator for the illustrated character domain would provide a valuable prior for assistive content creation tasks, such as reference pose retrieval and automatic character animation.
FixMyPose: Pose Correctional Captioning and Retrieval
During the correctional-captioning task, models must generate descriptions of how to move from the current to target pose image, whereas in the retrieval task, models should select the correct target pose given the initial pose and correctional description.
View-Invariant Probabilistic Embedding for Human Pose
google-research/google-research
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ECCV 2020
Depictions of similar human body configurations can vary with changing viewpoints.
