Text-To-4D

MAV3D is an AI tool developed by Meta AI that can generate three-dimensional dynamic scenes from text descriptions. It uses a 4D dynamic Neural Radiance Field (NeRF) optimized for scene appearance, density, and motion consistency by querying a Text-to-Video (T2V) diffusion-based model. This tool does not require any 3D or 4D data and the T2V model is trained only on Text-Image pairs and unlabeled videos. The generated dynamic videos can be viewed from any camera location and angle and can be composited into any 3D environment. It has been shown to improve upon previous methods and is the first tool known to generate 3D dynamic scenes from text descriptions. The tool can be applied in various areas, such as entertainment, gaming, virtual reality, and computer graphics.