The results are impressive. With just three input images, Matrix3D can generate detailed 3D reconstructions of objects and even entire environments, which obviously could have very interesting ...

Nvidia launched a new tool that lets developers generate AI images by first creating them in 3D. The awkwardly named Nvidia AI Blueprint for 3D-guided generative AI is available to download today ...

Python has long had a presence ... but data display objects like plots or charts, feedback controls like alerts and progress bars, and overlay objects like modals and tooltips.

In order to begin the process, you will need both images saved and accessible. Ultimately, the process will require several layers opened separately and they will combine for the final overlay ...

However, if you are familiar with the python environment you ... are presented in a 3-dimensional (3D) plot in Lab colourspace. Colours can be selected by shift-clicking, either in this 3D plot or on ...

One more top image processing library in Python is Mahotas, which was originally designed for bioimage informatics. Mahotas enables developers to take advantage of advanced features like local binary ...

The researchers created what they consider the first Large Reconstruction Model (LRM) capable of predicting a 3D model's shape from a single two-dimensional image, and it can do so within just 5 ...

These updates not only offer exciting new capabilities for text-to-image, but also venture into the realm of 3D content creation. The most notable enhancement is the brand new Stable 3D model.

If you’ve been wondering how to overlay one image onto another directly on your iPhone, you’ll be glad to know that it’s now possible thanks to the iOS Shortcuts app. I'm a Photoshop pro ...

In order to better visualize and organize the output data, we offer a plotly dashboard which provide a series of interactive plots. The Python pipeline is designed ... The singularity image of PLIP is ...

Muography of the G2 Nuclear Reactor. Credit: Science Advances (2023). DOI: 10.1126/sciadv.abq8431 The resulting 3D images were clear enough that team members were able to make out individual ...