Accelerated pose estimation and tracking using semi-supervised convolutional networks.
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Updated
Oct 14, 2024 - Jupyter Notebook
Accelerated pose estimation and tracking using semi-supervised convolutional networks.
AI-powered padel analytics
autoupdate paper list
PrecisionPose is a real-time human pose estimation tool using MediaPipe. It accurately detects and visualizes body landmarks in images and videos, ideal for fitness tracking, human-computer interaction, and sports analysis. With efficient algorithms, it ensures quick and reliable pose detection for seamless integration and development.
Code for "Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation"
[ECCV 2024] "BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting". ⚡Train a scene from real-world blurry images in minutes!
The collection of pre-trained, state-of-the-art AI models for ailia SDK
[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D hand-object training data.
[CVPR 2023] Official repository for downloading, processing, visualizing, and training models on the ARCTIC dataset.
This project is an AI-powered application that leverages Computer Vision, Pose Estimation, and Machine Learning to accurately track exercise repetitions during workouts. The goal is to enhance fitness routines by providing real-time tracking through an easy-to-use web interface.
xLPM: xGausaain-Splatting Models with Localized Point Management
A deep learning framework for multi-animal pose tracking.
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
[ICRA 2024] Language-Conditioned Affordance-Pose Detection in 3D Point Clouds
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
[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.
Inference task with video for pose estimation.
Integrate YOLOv8 into your C# project for a variety of real-time tasks including object detection, instance segmentation, pose estimation and more, using ONNX Runtime.
V-QUIP: A Vision-based Quick Impromptu Polling System for the Classroom
Markerless kinematics with any cameras — From 2D Pose estimation to 3D OpenSim motion
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