Researchers at TU Wien have now developed methods for giving a 3D-printed object not only the desired shape, but also the desired material properties, point by point. The versatility of this ...

Have you stood in front of an ancient monument and experienced a sense of wonder, as though the building itself was whispering secrets of the cosmos? From Egypt's towering pyramids to Europe's ...

Abstract: In this paper, we propose a 3D geometry-aware deformable Gaussian Splatting method for dynamic view synthesis. Existing neural radiance fields (NeRF) based solutions learn the deformation in ...

I’ve always been interested in alternative ways to create wealth, especially those that don’t rely on years of financial education or endless hard work. That’s how I came across the Wealth Geometric ...

A team of researchers from Meta Reality Labs and Carnegie Mellon University has introduced MapAnything, an end-to-end transformer architecture that directly regresses factored metric 3D scene geometry ...

Given the above high quality 3D assets, you can follow methods from Dora to preprocess data for VAE and 3D DiT training, and from MV-Adapter for ig2mv training. Shallow clone is faster and does not ...

Engineers at Johns Hopkins University, including Jochen Mueller and Sarah Propst, have introduced a new 3D printing language known as Time Code (T-Code) that enhances speed, precision, and material ...

Abstract: A signed distance function (SDF) as the 3D shape description is one of the most effective approaches to represent 3D geometry for rendering and reconstruction. Our work is inspired by the ...

This repo contains source code (training / inference) of 3D diffusion model, pretrained weights and gradio demo code of our 3D mesh generation project, you can find more visualizations on our project ...