PhotoGuard: Protecting Images from Generative Model Alterations

5 September 2023
photoguard

PhotoGuard: Protecting Images from Generative Model Alterations

Researchers at MIT have introduced PhotoGuard, an algorithm designed to safeguard images from unauthorized alterations by generative models, ensuring the authenticity of images. The widespread use of generative models such…

Pixellib: library for object segmentation in photos and videos

28 January 2021

Pixellib: library for object segmentation in photos and videos

Pixellib is a library for the task of segmenting objects in images and videos. The library supports two main types of object segmentation: semantic and instance segmentation. The complexity of…

New Datasets for 3D Object Recognition

6 November 2018

New Datasets for 3D Object Recognition

Robotics, augmented reality, autonomous driving – all these scenarios rely on recognizing 3D properties of objects from 2D images. This puts 3D object recognition as one of the central problems…

“Falling Things”: A Synthetic Dataset by Nvidia for Pose Estimation

26 April 2018
A Synthetic Dataset by Nvidia for Pose Estimation

“Falling Things”: A Synthetic Dataset by Nvidia for Pose Estimation

Deep learning made a lot of progress in image recognition and visual arts. The deep learning approach is used to solve the problems of image recognition, image captioning, image segmentation,…

How Has MS Voxel Deep Network Managed to Improve 3D Objects Recognition Using Cloud Map Only

12 April 2018
Objects Recognition Using Cloud Map Only

How Has MS Voxel Deep Network Managed to Improve 3D Objects Recognition Using Cloud Map Only

Mobile Laser Scanning (MLS) systems can now scan large areas, like cities or even countries. The produced 3D point clouds can be used as maps for autonomous systems. To do…