Imagine you have multiple warehouses in different places where you don't have time to monitor everything at a time, and you can't afford a lot of computes due to their cost and unreliability. However, ...
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VGGT: Visual Geometry Grounded Transformer – For Dense 3D Reconstruction
VGGT (Visual Geometry Grounded Transformer) leverages deep learning based representations to infer 3D structures from an image rather than traditional 2D based SfM pipelines. It provides a simplified, ...
DDIM: The Faster, Improved Version of DDPM for Efficient AI Image Generation
Diffusion models have changed the game in image generation. Tools like Stable Diffusion have become popular for their ability to turn text into images using these models. The core idea behind ...
Introduction to Model Context Protocol (MCP)
The rapid evolution of artificial intelligence, particularly large language models (LLMs), has unlocked unprecedented potential for generating human-like text, solving complex problems, and enhancing ...
MASt3R and MASt3R-SfM Explanation: Image Matching and 3D Reconstruction Results
MASt3R (Matching and Stereo 3D Reconstruction) aims to treat image matching as a 3D problem leveraging dense correspondences and understanding the 3D scene rather than a traditional 2D approach. This ...
MatAnyone Explained: Consistent Memory for Better Video Matting
Imagine being able to separate the foreground from the background in your videos with clear, accurate mattes every time. With AI models like MatAnyone, video matting delivers precise alpha mattes ...