Model reduction method and apparatus, computer-readable storage medium, electronic device

By using a toolchain platform to scan and reduce the number of polygons in the target repository, the problem of multiple steps and cumbersome processes in model polygon reduction in existing technologies is solved, and a highly efficient and automated model polygon reduction process is achieved.

CN115527004BActive Publication Date: 2026-05-26NETEASE (HANGZHOU) NETWORK CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NETEASE (HANGZHOU) NETWORK CO LTD
Filing Date
2022-09-29
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing model polygon reduction methods involve multiple stages and are cumbersome, making it impossible to directly filter and reduce polygons from resources within the engine, resulting in low efficiency.

Method used

The toolchain platform scans the target repository, obtains the scan results, provides a method for reducing polygon count, responds to the target polygon count reduction method to obtain the target model to be reduced, and uses the model's polygon count reduction parameters to reduce polygon count, thereby achieving automated program detection and polygon count reduction.

Benefits of technology

It improves the efficiency of model surface reduction, simplifies the process, reduces cross-stage operations, and increases the automation level of model surface reduction.

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Abstract

This disclosure relates to a model polygon reduction method and apparatus, a computer-readable storage medium, and an electronic device, belonging to the field of computer technology. The method includes: acquiring a target repository; scanning the target repository to obtain a scan result; providing a polygon reduction method based on the scan result; responding to the target polygon reduction method; acquiring a target model to be polygonized in the target repository according to the target polygon reduction method; and responding to model polygon reduction parameters; reducing the polygon count of the target model to be polygonized using the model polygon reduction parameters to obtain a target model. This disclosure improves the efficiency of model polygon reduction and simplifies the model polygon reduction process.
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