MUMBAI, India, Oct. 31 -- Intellectual Property India has published a patent application (202411030074 A) filed by Bennett University, Greater Noida, Uttar Pradesh, on April 14, 2024, for 'deep learning-based image synthesis techniques.'
Inventor(s) include Prof. Sanjeev Ratna Singh; and Prof. Ajith Abraham.
The application for the patent was published on Oct. 31, under issue no. 44/2025.
According to the abstract released by the Intellectual Property India: "The present invention discloses a deep learning-based image synthesis system, revolutionizing the generation of realistic synthetic images. The system comprises an adaptive neural layer generator, skillfully generating synthetic image layers with high adaptability to various image characteristics. A hyper-pixel compressor efficiently refines the synthetic layers, producing a synthesized image of remarkable realism and quality. Importantly, a real-time feedback loop continually provides learning data for subsequent image synthesis processes, enabling continuous improvement and refinement of the deep learning models. This innovative system not only enhances the efficiency of image synthesis but also paves the way for the creation of highly realistic synthetic images in various applications, including virtual reality, gaming, and computer graphics."
Disclaimer: Curated by HT Syndication.
