Remember those stunning 3D scenes from science fiction movies? Vast universes, magical castles, futuristic cities... Now, you can easily create such scenes too! The latest **"Scene Language"** technology developed by Jiajun Wu's team at Stanford University allows you to generate lifelike 3D models with just a sentence description of the scene, truly a boon for designers and game developers!
What exactly is Scene Language?
Imagine you want to describe the mysterious Moai statues on Easter Island. You might say, "There is a row of seven Moai statues, all facing the same direction." But if the other person doesn't know what Moai statues are, you'd need to explain, "Moai statues are legless stone figures, each slightly different from the others."
This example shows that to fully describe a scene, at least three types of information are needed:
Structural information: Like "a row of seven statues," which can be described using a programming-like language;
Categorical semantics: Like "Moai statues," which can be summarized in words;
Instance details: Like the specific shapes, colors, and textures of each statue, which are hard to describe in words but can be identified through image recognition.
Scene Language perfectly integrates these three types of information! It consists of three core elements:
Program: Uses a programming-like syntax to define the hierarchical relationships and spatial layout of objects in the scene, such as the arrangement of Moai statues;
Text: Describes the categorical semantics of each object using natural language, such as "Moai statues";
Embedding Vectors: Uses vectors generated by neural networks to capture the visual features of each object, such as the unique appearance of each statue.
Most amazingly, Scene Language can be automatically generated through a pre-trained language model! You just need to input a text description or a picture, and the model can infer the program, text, and embedding vectors, then use various renderers to generate high-quality 3D scenes.
What are the advantages of Scene Language?
Compared to traditional scene graph representations, Scene Language can generate more complex and realistic scenes and allows precise control and editing of the scene structure. For example, you can modify the attributes of an object in the scene with a single command, add new objects, or even change the style of the entire scene.
What are the applications of Scene Language?
Scene Language has broad application prospects in the field of 3D scene generation and editing, such as:
Text-to-3D: Input a text description and automatically generate a corresponding 3D scene, like "a castle on a mountaintop surrounded by dense forests";
Image-to-3D: Input a photo and reconstruct the 3D scene in the photo, such as generating a 3D model of a living room from a living room photo;
4D Scene Generation: Can generate 4D scenes that include temporal dimension information, such as simulating the rotation of wind turbines;
Scene Editing: By modifying the program, text, or embedding vectors of Scene Language, precise editing of the scene can be performed, such as changing the color, position, or size of objects.
What are the future directions for Scene Language?
Scene Language is still in its early stages of development, with much room for future growth, such as:
More powerful generation capabilities: Can generate more complex and realistic scenes, including more details and richer interactive elements;
More convenient editing methods: Can use more natural and intuitive language to edit scenes, such as voice or gesture control;
More extensive application areas: Can be applied to more fields such as virtual reality, augmented reality, game development, and film production.
Project homepage: https://ai.stanford.edu/~yzzhang/projects/scene-language/
Paper link: https://arxiv.org/abs/2410.16770