Statistics for topic pose-estimation
RepositoryStats tracks 595,857 Github repositories, of these 329 are tagged with the pose-estimation topic. The most common primary language for repositories using this topic is Python (222). Other languages include: Jupyter Notebook (34), C++ (28)
Stargazers over time for topic pose-estimation
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[arXiv'24] Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
[arXiv'24] Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
Based on tensorrt v8.0+, deploy detection, pose, segment, tracking of YOLO11 with C++ and python api.
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
[ECCV 2022] "PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation"
DINO-X: The World's Top-Performing Vision Model for Open-World Object Detection and Understanding
[arXiv'24] Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
DINO-X: The World's Top-Performing Vision Model for Open-World Object Detection and Understanding
Code for the project "MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos"
[arXiv'24] Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
Based on tensorrt v8.0+, deploy detection, pose, segment, tracking of YOLO11 with C++ and python api.
Code for the project "MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos"
[ECCV 2024] "BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream"
DINO-X: The World's Top-Performing Vision Model for Open-World Object Detection and Understanding
DINO-X: The World's Top-Performing Vision Model for Open-World Object Detection and Understanding
Code for the project "MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos"
DINO-X: The World's Top-Performing Vision Model for Open-World Object Detection and Understanding
[arXiv'24] Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Code for the project "MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos"
[arXiv'24] Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
Code for the project "MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos"
Based on tensorrt v8.0+, deploy detection, pose, segment, tracking of YOLO11 with C++ and python api.
[ICRA 2024] Language-Conditioned Affordance-Pose Detection in 3D Point Clouds
[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.
DINO-X: The World's Top-Performing Vision Model for Open-World Object Detection and Understanding
[CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
Code for the project "MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos"
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
"Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)
[CVPR 2024] PyTorch implementation of GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
[ECCV 2024] "BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting". ⚡Train a scene from real-world blurry images in minutes!
RTMPose series (RTMPose, DWPose, RTMO, RTMW) without mmcv, mmpose, mmdet etc.