K machine promises performance that can scale to 32 chip servers and beyond but immature stack makes harnessing compute ...

OctopusEffects, #aftereffects In this video I will show you how to create a 3D scene using 2D image layers. The images used ...

Object discovery, which refers to the task of localizing objects without human annotations, has gained significant attention in 2D image analysis. However, despite this growing interest, it remains ...

In two separate blog posts, the Menlo Park-based tech giant detailed the new AI models. There are three models in total. SAM 3 for image and video tracking and segmentation, SAM 3D Objects for ...

This repository contains the code to train ConvNeXt models on 3D NIfTI images or 2D slices derived from these images. The script allows you to customize various aspects of the training process, ...

Abstract: Segmenting objects in an environment is a crucial task for autonomous driving and robotics, as it enables a better understanding of the surroundings of each agent. Although camera sensors ...

In this tutorial, I'll show you how to turn 2d image to 3d video. Use Displacement map. Hope it useful to you. Thanks for watching. Subscribe! subscribe subscribe subscribe subscribe subscribe DOT ...

Abstract: Most deep learning approaches to comprehensive semantic modeling of 3D indoor spaces require costly dense annotations in the 3D domain. In this work, we explore a central 3D scene modeling ...