co-tracker
CoTracker is a model for tracking any point (pixel) on a video.
AI summary
Point tracker
A model for tracking any point on a video using transformer-based architecture and optical flow benefits
- stars
- 4K
- forks
- 262
- watching
- 34
Similar projects
Found by comparing what the projects do, not just their names.
Tracking framework
A comprehensive framework for building and training visual object tracking models using PyTorch.
Video generator
This project generates animated videos from open-domain images by leveraging pre-trained video diffusion priors.
Object mask generator
This project provides code and tools for running inference with a visual segmentation model that can generate object masks from input prompts.
Video Segmentation Framework
A software framework for video segmentation in images and videos using AI models
Computer Vision Library
A computer vision library for the web that provides various algorithms and techniques for tracking objects and features in images.
Video understanding library
Provides state-of-the-art video understanding codebase with efficient training methods and pre-trained models for various tasks
Video learning library
Pytorch implementation of unsupervised depth and ego-motion learning from video sequences
Cartoonizer
Generates cartoon-style videos from two images using pre-trained diffusion models
Visual feature learner
A PyTorch implementation of a self-supervised learning method for learning robust visual features without supervision.
mkocabas/vibe2.9K
Video estimator
A video pose and shape estimation method that predicts body parameters for each frame of an input video.
Object Detector
A platform for object detection and segmentation tasks using machine learning algorithms
Avatar tracker
Provides eye and lip tracking functionality for VRChat avatars using OSC protocol and custom parameter mappings
thudm/cogvideo9.8K
Video generator
Generates videos from text and images using large language models
Embedding space
An AI framework that combines data from multiple sources into a single embedding space, enabling various applications such as cross-modal retrieval and generation.
Object tracking
Enables a robot to maintain scene descriptions at the object level by segmenting and tracking objects in real-time from RGB-D images.
