18100546. IMAGE GENERATION FROM TEXT AND 3D OBJECT simplified abstract (Snap Inc.)
Contents
IMAGE GENERATION FROM TEXT AND 3D OBJECT
Organization Name
Inventor(s)
Avihay Assouline of Tel Aviv (IL)
Itamar Berger of Hod Hasharon (IL)
Gal Dudovitch of Tel Aviv (IL)
IMAGE GENERATION FROM TEXT AND 3D OBJECT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18100546 titled 'IMAGE GENERATION FROM TEXT AND 3D OBJECT
The abstract describes a system for generating images that depict a real-world object in a scene by combining image content, a 3D model of the object, and a textual description for the background.
- The system receives image content including a depth map of a scene and a 3D model of a real-world object.
- It also receives a textual description for a background.
- The system applies the image content and textual description to a machine learning model to generate a scene image depicting the real-world object on the background described in the text.
Potential Applications: - Virtual reality applications - Augmented reality experiences - Gaming industry for realistic scene generation
Problems Solved: - Enhancing realism in virtual and augmented reality environments - Streamlining the process of creating scene images with real-world objects
Benefits: - Improved user experience in virtual and augmented reality - Efficient creation of realistic scene images - Enhanced visual quality in gaming and entertainment
Commercial Applications: Title: "Enhanced Virtual Reality Scene Generation Technology" This technology can be used in various industries such as gaming, entertainment, virtual tours, and virtual product showcases. It can revolutionize the way virtual and augmented reality content is created and experienced, leading to enhanced user engagement and immersion.
Prior Art: Readers can explore prior art related to image generation techniques, machine learning models for scene creation, and virtual reality technologies to understand the background of this innovation.
Frequently Updated Research: Researchers are constantly exploring advancements in machine learning algorithms for image generation, depth mapping techniques, and virtual reality applications to further enhance the capabilities of this technology.
Questions about the Technology: 1. How does this system improve the realism of virtual and augmented reality experiences? - This system enhances realism by combining image content, 3D models, and textual descriptions to generate scene images that accurately depict real-world objects in various backgrounds. 2. What are the potential limitations or challenges of implementing this technology in commercial applications? - Some potential challenges could include the need for high computational power for image processing and the complexity of integrating this system into existing virtual reality platforms.
Original Abstract Submitted
Aspects of the present disclosure involve a system for generating images that depict a real-world object in a scene. The system receives image content comprising a depth map of a scene and a three-dimensional (3D) model of a real-world object. The system receives a textual description for a background. The system applies the image content and the textual description to a machine learning model to generate a scene image that depicts the real-world object on the background corresponding to the textual description.
