GET3D | Nvidia vs Civitai

GET3D introduces a breakthrough approach to 3D content creation with its generative model capable of producing high-quality, textured 3D shapes directly from 2D images. Developed by the Toronto AI Lab and presented at NeurIPS 2022, this innovative technology addresses the growing demand for varied, detailed, and ready-to-use 3D assets in industries creating massive virtual worlds. By leveraging advancements in differentiable rendering and surface modeling, along with generative adversarial networks, GET3D can produce meshes featuring complex topologies and rich textures. The technology's end-to-end trainable model, sophisticated geometry-texture disentanglement, and the ability to guide shape generation through textual prompts demonstrate GET3D's commitment to fostering creativity and efficiency in 3D modeling. The model's versatility and its potential to revolutionize industries like gaming, film, and virtual reality make it an exciting development in AI-driven content creation.

Civitai is a platform that makes it easy for people to share and discover resources for creating AI art. Our users can upload and share custom models that they've trained using their own data, or browse and download models created by other users. These models can then be used with AI art software to generate unique works of art.

Cool, what's a "Model?" Put simply, a "model" refers to a machine learning algorithm or set of algorithms that have been trained to generate art or media in a particular style. This can include images, music, video, or other types of media.

To create a model for generating art, a dataset of examples in the desired style is first collected and used to train the model. The model is then able to generate new art by learning patterns and characteristics from the examples it was trained on. The resulting art is not an exact copy of any of the examples in the training dataset, but rather a new piece of art that is influenced by the style of the training examples.

Models can be trained to generate a wide range of styles, from photorealistic images to abstract patterns, and can be used to create art that is difficult or time-consuming for humans to produce manually.