Turn Any Photo into a 3D Model with SAM 3D : From One Snapshot to Shareable Mesh

Turn photos into 3D with Meta's SAM 3D, using SAM 2 masks and Gaussian splatting, so you can build assets quickly for ...
Redmond Pie

Apple Released A New Open-Source 2D To 3D Photo Model

Apple has released a new open-source AI model that converts 2D photos into 3D images, expanding tools for developers and ...

So Apple can do AI – new tool turns photos into 3D scenes in under a second and it runs on a MacBook

Apple has released a new AI tool for generating 3D photos The tool can convert a 2D image to a 3D scene in under one second This could be an upgrade to the existing spatial photos tool in iOS Remember ...

Apple releases open source SHARP AI model that turns single photo into 3D scene in under 1 second

Apple (AAPL) has released a new open-source AI model called SHARP which can turn a single 2-dimensional image into a ...
GitHub

[ICME2025] From 2D images to 3D model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion

For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...
IEEE

Deep Scene Flow Learning: From 2D Images to 3D Point Clouds

Abstract: Scene flow describes the 3D motion in a scene. It can be modeled as a single task or as a composite of the auxiliary tasks of depth, camera motion, and optical flow estimation. Deep learning ...
Hosted on MSN

After Effects tutorial - Convert 2d image into 3d - 134

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. Trump admin reacts after James Comey, Letitia James Cases dismissed ...
GitHub

convert-pdf-to-autocad

This repository offers a complete collection of official resources, user guides, and reference materials for BackToCAD Print2CAD software on Windows PCs. Designed to support users with comprehensive ...
IEEE

Stands on Shoulders of Giants: Learning to Lift 2D Detection to 3D with Geometry-Driven Objectives

Abstract: 3D detection of vehicles is an essential component for autonomous driving applications. Nevertheless, collecting the supervised training data for learning 3D vehicle detectors would be ...