Cloud rendering platform integrated picture super-resolution reconstruction method

By integrating super-resolution reconstruction methods on the cloud rendering platform, using GAN and deep convolutional neural network technology to generate high-definition rendering product pictures in the cloud, solving the problem of low-resolution in the cloud rendering platform, reducing rendering costs and improving efficiency.

CN119831841AActive Publication Date: 2025-04-15SHENZHEN RENDERBUS TECH
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Patent Information

Application Number
CN202411893421.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-20
Publication Date
2025-04-15
Estimated Expiration
2044-12-20

AI Technical Summary

Technical Problem

The resolution of the result product graph rendered by the cloud rendering platform often fails to meet the requirements, resulting in the cost of re-rendering.

Method used

The image super-resolution reconstruction method is integrated on the cloud rendering platform, and a deep convolutional neural network based on the generative adversarial network is used to generate equal-scale high-definition amplified rendered product pictures in the cloud through training and upsampling technology.

Benefits of technology

It realizes the generation of rendered product images with equal proportions, high-definition amplification in the cloud, meeting users' high-quality image needs, reducing rendering costs and improving efficiency.

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Abstract

The invention discloses an integrated picture super-resolution reconstruction method for a cloud rendering platform, which comprises the following steps of: training middleware for executing super-resolution reconstruction, and integrating the middleware to machine hardware deployed on a graphics card of the cloud rendering platform; when a super-resolution lossless amplification task needs to be executed, the cloud rendering platform carries out logic processing, calls an api interface of the middleware, the middleware requests to access a picture storage address of an original task, carries out AI amplification processing after obtaining a low-resolution picture, and finally outputs a generated rendering product picture subjected to equal-proportion high-definition amplification to the cloud rendering platform. According to the invention, a picture super-resolution reconstruction technology is integrated on the cloud rendering platform, so that a rendering product picture which is amplified at equal proportion and high definition can be generated at the cloud end. The generated equal-proportion high-definition amplified rendering product picture meets the requirement of a user for a high-quality image, the user experience is improved, and the rendering cost is reduced.
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Citation Information

Patent Citations

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