From 3D-printed prototypes to immersive game worlds, the demand for 3D content is surging across industries—and with it, the ...
Even though the ability to create refined custom 3D models using artificial intelligence is some way off. The technology to be able to create 10 AI 3D model from a text prompt is definitely getting ...
Having already disrupted art-making with DALL-E and writing with ChatGPT, OpenAI remains intent on putting its mark on the 3D modeling space. In a recent paper from OpenAI, researchers Heewoo Jun and ...
Try SAM 3D to create editable 3D models and meshes from images, with manual scale and rotate tools, helping beginners turn ideas into assets ...
3DFY.ai announced the launch of 3DFY Prompt, a generative AI that lets developers and creators build 3D models based on text prompts. The Tel Aviv, Israel-based company said the tech democratizes ...
The next breakthrough to take the AI world by storm might be 3D model generators. This week, OpenAI open sourced Point-E, a machine learning system that creates a 3D object given a text prompt.
On Friday, researchers from Nvidia announced Magic3D, an AI model that can generate 3D models from text descriptions. After entering a prompt such as, “A blue poison-dart frog sitting on a water lily, ...
Stability AI, the startup behind the text-to-image AI model Stable Diffusion, thinks 3D model creation tools could be the next big thing in generative AI. At least, that’s the message it’s sending ...
Artificial intelligence breakthroughs in the moving-image space have multiplied in recent months. Competition among open-source and private models has been key to the rapid advancements in AI recently ...
The company's new algorithm creates a 3D model of your text description, and it does it orders of magnitude faster than other AIs. Share on Facebook (opens in a new window) Share on X (opens in a new ...
Point-E, unlike similar systems, "leverages a large corpus of (text, image) pairs, allowing it to follow diverse and complex prompts, while our image-to-3D model is trained on a smaller dataset of ...