18179487. REPRESENTATION LEARNING FOR CONTINUOUS VECTOR GRAPHICS simplified abstract (Adobe Inc.)
Contents
REPRESENTATION LEARNING FOR CONTINUOUS VECTOR GRAPHICS
Organization Name
Inventor(s)
Defu Cao of Los Angeles CA (US)
Zhaowen Wang of San Jose CA (US)
Jose Ignacio Echevarria Vallespi of Brooklyn NY (US)
REPRESENTATION LEARNING FOR CONTINUOUS VECTOR GRAPHICS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18179487 titled 'REPRESENTATION LEARNING FOR CONTINUOUS VECTOR GRAPHICS
Simplified Explanation: This patent application describes systems and methods for generating representations for vector graphics by obtaining semantic and geometric information for a vector graphics image and encoding this information to create a vector graphics representation.
- Systems and methods for generating representations for vector graphics
- Obtain semantic and geometric information for a vector graphics image
- Encode the information to create a vector graphics representation
- Provide a reconstructed image based on the vector graphics representation
Potential Applications: 1. Graphic design software 2. Printing and publishing industries 3. Computer-aided design (CAD) programs 4. Virtual reality and augmented reality applications
Problems Solved: 1. Efficiently generating representations for vector graphics 2. Improving the quality and accuracy of reconstructed images 3. Enhancing the understanding of geometric relationships in vector graphics
Benefits: 1. Enhanced visualization of vector graphics 2. Improved accuracy in representing geometric relationships 3. Streamlined design processes in various industries
Commercial Applications: Title: Advanced Vector Graphics Representation Technology for Graphic Design Software This technology can be used in graphic design software to improve the efficiency and accuracy of creating vector graphics representations. It has implications for industries such as printing, publishing, CAD, and virtual reality.
Prior Art: Readers can explore prior art related to vector graphics representation technologies in the fields of computer graphics, image processing, and geometric modeling.
Frequently Updated Research: Researchers are constantly exploring new algorithms and techniques for generating and representing vector graphics in various applications. Stay updated on the latest advancements in this field for potential improvements in design processes and visualization techniques.
Questions about Vector Graphics Representation: 1. How does this technology improve the accuracy of reconstructed images compared to traditional methods? 2. What are the key factors to consider when encoding semantic and geometric information for vector graphics representations?
Original Abstract Submitted
Systems and methods for generating representations for vector graphics are described. Embodiments are configured to obtain semantic information and geometric information for a vector graphics image. The semantic information describes individual segments of the vector graphics image, and the geometric information describes geometric relationships among the individual segments. Embodiments are additionally configured to encode the semantic information and the geometric information to obtain a vector graphics representation for the vector graphics image, and to provide a reconstructed image based on the vector graphics representation.
