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, ...

many 2D-to-3D image and video conversion methods have been proposed. Methods involving human operators have been most successful but also time-consuming and costly. Automatic methods, which typically ...

Glycine (Gly) is used as a model system to evaluate the ability of ultrafast two-dimensional infrared (2D-IR) spectroscopy to detect and quantify the low-molecular-weight proteinaceous components of ...

By integrating our technologies, we will be able to offer customers a clear advancement path from 2D to 3D systems while maintaining their existing investment in smart attachments. The ...

Some of the techniques use deep learning some on the other hand have human-based interaction to convert 2d images into 3d models. Here some techniques are automatic while other are semi-automatic. The ...

where he led the company’s text-to-3D asset generation project. Niessner thinks this is still little competition compared to what exists for other types of foundation models, but also in regard ...

MMaDA is a new family of multimodal diffusion foundation models designed to achieve superior performance across diverse domains such as textual reasoning, multimodal understanding, and text-to-image ...

These enhancements include support for remote Model Context Protocol (MCP) servers, integration of image generation and Code Interpreter tools, and upgrades to file search capabilities—all ...