Pose Prediction
57 papers with code • 3 benchmarks • 8 datasets
Pose prediction is to predict future poses given a window of previous poses.
Benchmarks
These leaderboards are used to track progress in Pose Prediction
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Datasets
NTU RGB+D
G3D
Expi
SportsPose
Drunkard's Dataset
InfiniteRep
Most implemented papers
RankPose: Learning Generalised Feature with Rank Supervision for Head Pose Estimation
We address the challenging problem of RGB image-based head pose estimation.
GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping
graspnet/graspnet-baseline
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CVPR 2020
In this work, we contribute a large-scale grasp pose detection dataset with a unified evaluation system.
Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild
akashsengupta1997/STRAPS-3DHumanShapePose
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Thus, we propose STRAPS (Synthetic Training for Real Accurate Pose and Shape), a system that utilises proxy representations, such as silhouettes and 2D joints, as inputs to a shape and pose regression neural network, which is trained with synthetic training data (generated on-the-fly during training using the SMPL statistical body model) to overcome data scarcity.
IMU-Assisted Learning of Single-View Rolling Shutter Correction
IRVLab/unrolling
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In this paper, we propose a deep neural network to predict depth and row-wise pose from a single image for rolling shutter correction.
Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation
mks0601/Hand4Whole_RELEASE
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Using Pose2Pose, Hand4Whole utilizes hand MCP joint features to predict 3D wrists as MCP joints largely contribute to 3D wrist rotations in the human kinematic chain.
Temporally Guided Articulated Hand Pose Tracking in Surgical Videos
MichiganCOG/Surgical_Hands_RELEASE
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Additionally, we collect the first dataset, Surgical Hands, that provides multi-instance articulated hand pose annotations for in-vivo videos.
An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering
NikolaZubic/2dimageto3dmodel
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Then we use Poisson Surface Reconstruction to transform the reconstructed point cloud into a 3D mesh.
DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency
Gorilla-Lab-SCUT/DualPoseNet
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ICCV 2021
DualPoseNet stacks two parallel pose decoders on top of a shared pose encoder, where the implicit decoder predicts object poses with a working mechanism different from that of the explicit one; they thus impose complementary supervision on the training of pose encoder.
Multi-Person Extreme Motion Prediction
GUO-W/MultiMotion
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CVPR 2022
In this paper, we explore this problem when dealing with humans performing collaborative tasks, we seek to predict the future motion of two interacted persons given two sequences of their past skeletons.
3D Human Pose Regression using Graph Convolutional Network
We propose one such graph convolutional network named PoseGraphNet for 3D human pose regression from 2D poses.
