It will then run that generated image through a series of diffusion models to create the 3D, RGB point cloud of the initial image — first producing a coarse 1,024-point cloud model, then a finer ...

Point-E doesn’t create 3D objects in the traditional sense. Rather, it generates point clouds ... model, similar to generative art systems like OpenAI’s own DALL-E 2 and Stable Diffusion ...

It works by generating a single synthetic view with a text-to-image diffusion model. Then, a 3D point cloud is generated, which is easier to synthesize hence the reduced load on GPUs, though it ...

Not all point clouds are destined to be 3D models. A project may call for watching for changes in a surface, for example. We’ve gone into detail in the past about how 3D scanning works ...

Point-E is mainly composed of two models: a model that generates images from text and a model that generates point cloud data from images. A model that generates images from text is a model that ...

This is a significant shift from previous proprietary text-to-image models like DALL-E and Midjourney, which were only accessible via cloud services. The creation of Stable Diffusion was ...

Stability AI, the startup behind the text-to-image AI model Stable Diffusion ... Stable 3D. Given generative AI models’ tendency to regurgitate training data, this could become a point of ...