The demand for high -quality 3D resources develops in industries, such as video games design, augmented reality, film production and simulation. However, creating 3D content ready for production often requires a complex, intensive process that requires advanced skills and tools. The solution to these challenges is EDIFY 3D by NVIDIA – A solution that AI technologies uses to make 3D assets faster, easier and more accessible.
Edify 3D sets a new reference point in creating 3D resources, enabling high -quality assets in less than two minutes. This innovative platform produces 3D models with detailed geometry, pure mesh topology, UV mapping, 4K textures and physically based on rendering materials (PBR). Regardless of whether the input data is a description of the text or a picture of reference, Edify 3D can generate stunningly accurate 3D resources suitable for a wide range of application.
Compared to traditional methods of generating text to 3D, EDIF 3D not only provides excellent results in terms of details and realism, but also exceeds performance and scalability.
The basic 3D technology uses advanced neural networks, combining diffusion models and transformers to cross the limits of what AI can achieve in generating 3D assets. The process begins with the diffusion models of many views, which synthesize the appearance of RGB and the normal surface of the object from various points of view. These images with many views then serve as input data for the reconstruction model based on the transformer, which provides for geometry, texture and material with a final 3D shape.
The pipeline is highly optimized for scalability, with the possibility of supporting both 3D text input data and 3D image. When generating text up to 3D, users provide a natural language description, and the model synthesizes the object based on predefined hints and positions. In the case of Image-to-3D, the system can automatically separate the object of the first plan from the reference image and generate its 3D counterpart, along with the invisible surface details.
To achieve impressive results, Edify 3D is based on a meticulously designed data processing pipeline. The system begins with the transformation of data of raw 3D shape into a unified format, ensuring compatibility and consistency in data sets. Lens -oriented data, incomplete scans and low -quality shapes are filtered by active learning with AI classifiers and human supervision. The canonical positioning of the position ensures that all shapes are properly oriented, reducing the ambiguity during training.
For training purposes, EDIFY 3D uses photorealistic rendering techniques to generate images with many views from processed 3D shapes. The vision model is then used to generate descriptive signatures for rendered images, enriching a set of data with significant metadata.
In cases of using text to 3D, EDIFY 3D creates detailed 3D models that perfectly adapt to the descriptions provided by the user. In the Image-to-3D scenarios, the system thoroughly reproduces the 3D structure of the reference object, and “hallucinals” realistic textures for invisible areas such as the back of the object.
There are 3D results stand out for their exceptional quality. The generated resources include pure four times topologies, sharp textures and detailed geometry. These functions make them ideal for further flows in industries such as games, animation and product design.
Read more about the scalable high quality generation of 3D assets In an article on ARXIV.