3D Pose Estimation
131 papers with code • 6 benchmarks • 29 datasets
Benchmarks
These leaderboards are used to track progress in 3D Pose Estimation
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Libraries
Use these libraries to find 3D Pose Estimation models and implementations
Human3.6M
LSP
HO-3D
Hypersim
MuCo-3DHP
ApolloCar3D
SVIRO
Unite the People
CarFusion
Latest papers with no code
3D Human Scan With A Moving Event Camera
The experimental results show that the proposed method outperforms conventional frame-based methods in the estimation accuracy of both pose and body mesh.
A Unified Framework for Human-centric Point Cloud Video Understanding
Human-centric Point Cloud Video Understanding (PVU) is an emerging field focused on extracting and interpreting human-related features from sequences of human point clouds, further advancing downstream human-centric tasks and applications.
That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation
This paper is about 3D pose estimation on LiDAR scans with extremely minimal storage requirements to enable scalable mapping and localisation.
Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras
In order to evaluate our proposed pipeline, we collect three video sets of RGBD videos recorded from multiple sparse-view depth cameras and ground truth 3D poses are manually annotated.
D3PRefiner: A Diffusion-based Denoise Method for 3D Human Pose Refinement
Additionally, we leverage the architecture of current diffusion models to convert the distribution of noisy 3D poses into ground truth 3D poses.
STRIDE: Single-video based Temporally Continuous Occlusion Robust 3D Pose Estimation
This challenge arises because these models struggle to generalize beyond their training datasets, and the variety of occlusions is hard to capture in the training data.
Multi-View Person Matching and 3D Pose Estimation with Arbitrary Uncalibrated Camera Networks
The 2D human poses used in clustering are obtained through a pre-trained 2D pose detector, so our method does not require expensive 3D training data for each new scene.
Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency
We propose a novel loss function, multiview consistency, to enable adding additional training data with only 2D supervision.
3D Pose Estimation of Tomato Peduncle Nodes using Deep Keypoint Detection and Point Cloud
A 21 comprehensive evaluation was conducted in a commercial greenhouse to gain insight into the 22 performance of different parts of the method.
6-DoF Stability Field via Diffusion Models
A core capability for robot manipulation is reasoning over where and how to stably place objects in cluttered environments.
