The tech giant OpenAI has launched a revolutionary 3D version of DALL-E, now referred to as Point-E, which facilitates the creation of 3D objects based on textual inputs.

According to a recent discussion, OpenAI has unveiled a 3D iteration of its DALL-E technology, known as Point-E. This algorithm can produce 3D models directly from text descriptions, expanding on its predecessor's capabilities. blog post on the company’s GitHub.

Point-E represents a next step in the progression of the original DALL-E model that debuted last year, offering the ability to create 3D representations from textual prompts much like its 2D counterpart.

In contrast to the original DALL-E, which was limited to producing flat images, Point-E offers the fascinating capability of generating three-dimensional objects. This opens up new avenues for applications in realms such as virtual and augmented reality. DALL-E to generate While Point-E has not yet reached the sophistication of Google's offering, it does boast a significant speed advantage, generating results approximately 600 times faster than DreamFusion.

We've seen impressive progress in creating two-dimensional images, and now the transition to three-dimensional is gradually gaining momentum. Could this impending advancement lead to unrest among 3D artists? DreamFusion In the realm of text-to-3D technologies, Google has rolled out a neural network that translates text descriptions into detailed 3D models.

Here are the top five AI tools for generating both 2D and 3D game assets that you might find useful in your GameDev projects.

Read more about AI:

• Nvidia has revealed Magic3D, an innovative content creation tool that enables users to generate 3D objects from textual descriptions.
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