GitHub

2D/3D Deformable Image registration using deep learning and convolutional variational networks, implemented using Tensorflow.

Deformable image registration is important for cancer treatments that utilize an MR-Linac (a linear accelerator with integrated magnetic resonance imaging). Traditional methods of two- and ...
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. Subscribe! subscribe subscribe subscribe subscribe Dodgers-Blue Jays ...
IEEE

A Multichannel Hybrid 2D–3D-CNN for Hyperspectral Image Classification With Small Training Sample Sizes

Abstract: This article presents an innovative multichannel hybrid 2D–3D-convolutional neural network (MH-2D-3D-CNN) model specifically designed for the challenging task of hyperspectral image ...
IEEE

3D Point Cloud Pre-Training with Knowledge Distilled from 2D Images

Abstract: The success of pre-trained 2D vision models can largely be attributed to their ability to learn from large-scale datasets. However, compared with 2D image datasets, current pre-training data ...