Ever watched an AI-generated video and wondered how it was made? Or perhaps dreamed of creating your own dynamic scenes, only to be overwhelmed by the complexity or the need for supercomputer-like ...
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Understanding Iterative Closest Point (ICP) Algorithm with Code
Iterative Closest Point (ICP) is a widely used classical computer vision algorithm for 2D or 3D point cloud registration. As the name suggests it iteratively improves and minimizes the spatial ...
MedSAM2 Explained: One Prompt to Segment Anything in Medical Imaging
Evening rush hour, a small country hospital, the scan room hums like an old fridge while a tired doctor checks the last patient of the day - a farmer who fell off his tractor and now finds it hard to ...
DINOv2 by Meta: A Self-Supervised foundational vision model
The field of computer vision is fueled by the remarkable progress in self-supervised learning. At the forefront of this revolution is DINOv2, a cutting-edge self-supervised vision transformer ...
MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
MASt3R-SLAM is a truly plug and play monocular dense SLAM pipeline that operates in-the-wild. It is first of its kind real-time SLAM system that leverages MASt3R's 3D Reconstruction priors to achieve ...
RF-DETR by Roboflow: Speed Meets Accuracy in Object Detection
Object detection has come a long way, especially with the rise of transformer-based models. RF-DETR, developed by Roboflow, is one such model that offers both speed and accuracy. Using Roboflow’s ...