The robustness and accuracy of the intensity-based 3D/2D registration of a 3D model on planar X-ray image(s) is related to the quality of the image correspondences between the digitally reconstructed ...

[MM 2024] [Need only a 3090] MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors - TangYuan96/MiniGPT-3D ...

A fast 3D object generation framework, named as GaussianDreamer, is proposed, where the 3D diffusion model provides priors for initialization and the 2D diffusion model enriches the geometry and ...

In this paper, we combine the ideas from the conventional model-based iterative reconstruction with the modern diffusion models, which leads to a highly effective method for solving 3D medical image ...

A research team has developed a cost-effective method to measure wheat plant height in unprecedented detail using drone-based cross-circling oblique (CCO) imaging and 3D canopy modeling.

Microsoft has introduced a new experimental AI feature, Copilot 3D, allowing users to convert static 2D images into fully rendered 3D models without requiring specialised design skills.

Microsoft has unveiled an artificial intelligence-powered tool to transform 2D images into real-life-looking 3D models. The US technology giant has dubbed it Copilot 3D and said that it is designed to ...

To take Copilot 3D for a spin, browse to the Copilot 3D website and sign in with your Microsoft account. To get some inspiration, you can view the existing 3D models generated by other people.

AI Tools Update: Microsoft launches Copilot 3D, converting PNG or JPG images into GLB 3D models for games, VR, AR, and digital design.