Diffusion models have emerged as the best approach for generative modeling of 2D images. Part of their success is due to the possibility of training them on millions if not billions of images with a ...

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 ...

Now it looks like Abxylute plans to sell a model branded as the Abxylute 3D One. It’s expected to launch this fall for around $1700.

Leveraging multi-view diffusion models as priors for 3D optimization have alleviated the problem of 3D consistency, e.g., the Janus face problem or the content drift problem, in zero-shot text-to-3D ...

These models, which are based on large language models (LLMs), can make very accurate predictions of a protein's suitability for a given application.

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Copilot 3D 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.

Ai2 (The Allen Institute for AI) today announced the release of MolmoAct 7B, a breakthrough embodied AI model that brings the intelligence of state of the ar ...

Listen to This Article 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 ...