18228169. RENDERING METHOD AND DEVICE FOR IMPROVING REALISM OF RENDERED IMAGE simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)
Contents
- 1 RENDERING METHOD AND DEVICE FOR IMPROVING REALISM OF RENDERED IMAGE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 RENDERING METHOD AND DEVICE FOR IMPROVING REALISM OF RENDERED IMAGE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Realistic Image Rendering Technology
- 1.13 Original Abstract Submitted
RENDERING METHOD AND DEVICE FOR IMPROVING REALISM OF RENDERED IMAGE
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
Seung Wook Lee of Daejeon (KR)
RENDERING METHOD AND DEVICE FOR IMPROVING REALISM OF RENDERED IMAGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18228169 titled 'RENDERING METHOD AND DEVICE FOR IMPROVING REALISM OF RENDERED IMAGE
Simplified Explanation
The patent application describes a method and device for enhancing the realism of rendered images by using training image data to generate a realistic image.
- Receiving training image data with a real image.
- Generating a rendering simulation image from the training image data.
- Acquiring background feature information by separating foreground and background areas.
- Obtaining latent feature information needed for creating a realistic image.
- Generating a realistic image based on the latent feature and background feature information.
Key Features and Innovation
- Utilizes training image data to enhance the realism of rendered images.
- Separates foreground and background areas to acquire background feature information.
- Generates a realistic image by combining latent feature and background feature information.
Potential Applications
This technology can be applied in various fields such as:
- Virtual reality
- Gaming industry
- Architectural visualization
- Medical imaging
Problems Solved
- Enhances the realism of rendered images.
- Improves the quality of virtual simulations.
- Provides a more immersive experience for users.
Benefits
- Creates more realistic images.
- Enhances user experience.
- Increases the quality of visual content.
Commercial Applications
Title: Realistic Image Rendering Technology for Enhanced Visual Experiences This technology can be used in:
- Video game development
- Virtual reality applications
- Architectural design software
- Medical imaging systems
Prior Art
Prior art related to this technology may include research on image rendering techniques, virtual reality simulations, and computer graphics algorithms.
Frequently Updated Research
Research on image processing algorithms, machine learning models for image enhancement, and advancements in virtual reality technology are relevant to this innovation.
Questions about Realistic Image Rendering Technology
How does this technology improve the realism of rendered images?
This technology enhances realism by acquiring background and latent feature information to generate more lifelike images.
What are the potential applications of this technology beyond image rendering?
This technology can be applied in various industries such as virtual reality, gaming, architecture, and medical imaging for enhanced visual experiences.
Original Abstract Submitted
Provided is a rendering method and a device for improving realism of a rendered image. The method includes receiving training image data including a real image, generating a rendering simulation image using the training image data, acquiring background feature information by separating foreground and background areas on the basis of the rendering simulation image or the training image data, acquiring latent feature information required for generating a realistic image on the basis of the rendering simulation image, and generating a realistic image on the basis of the latent feature information and the background feature information.
