which they demonstrated in 2D/3D perovskite solar cells. A n-i-p champion perovskite solar cell had a power conversion efficiency of 25.9%, retaining 91% of the initial performance after 1,074 ...

We propose a 3D-aware 2D VAE that enables 3D reconstruction in the 2D latent space. We present a three-stage pipeline to enhance the 3D awareness of both encoder and decoder of the VAE. Feel free to ...

The process of creating 3D models from 2D images has traditionally been associated with expensive software and advanced technical skills. However, Trellis, a free AI-powered tool, has transformed ...

The 2D to 3D photo conversion feature coming to Vision Pro in VisionOS 2.0 makes a novel capability meaningful for the first time. Cue “Apple didn’t even do it first!” in the comments.

Whether you want to plot a graph for academic and research publication or hypothesis testing, a quality graph will always leave a long-lasting impression and can make a huge difference in the impact ...

Introduction: Recent advances in Artificial Intelligence (AI) and Computer Vision (CV) have led to automated pose estimation algorithms using simple 2D videos. This has created ... kinematics from a ...

From the publication pyPept: a python library to generate atomistic 2D and 3D representations of peptides Journal of Cheminformatics, 2023, 15:79 Authors: Rodrigo Ochoa, J.B Brown, Thomas Fox Here we ...

OpenAI‘s latest endeavor, Shap-E, is a model that allows you to generate 3D objects from text, not unlike how Dall-E can create 2D images ... a single output representation, Shap-E directly ...

A neural field network can create a continuous 3D model from ... not captured by the original 2D images. The model now contains information of a full, continuous representation of the cell ...