Special effect generation method and apparatus, device, and storage medium

CN122115607APending Publication Date: 2026-05-29SHENZHEN TENCENT COMP SYST CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN TENCENT COMP SYST CO LTD
Filing Date
2026-04-28
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies for generating particle effects are inefficient, rely heavily on the expertise of special effects artists, and produce results that do not meet user needs.

Method used

By acquiring effect description information and utilizing candidate particle emitters and their semantic data stored in the target database, particle emitters that match visual elements are automatically retrieved to generate target particle effects, avoiding the need for manual configuration of complex parameters.

Benefits of technology

It improves the efficiency of particle effect generation, reduces the professional requirements of users, generates rich effects that meet user needs, and has superior visual effects.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122115607A_ABST
    Figure CN122115607A_ABST
Patent Text Reader

Abstract

Embodiments of the present application disclose a special effect generation method, device and equipment and a storage medium. The method comprises: obtaining special effect description information; determining element description information corresponding to each visual element included in a target particle special effect according to the special effect description information; for each visual element, searching for a candidate particle emitter that satisfies a first semantic matching condition with the visual element in a target database according to the element description information corresponding to the visual element, as a target particle emitter corresponding to the visual element, and the target database stores a plurality of candidate particle emitters and emitter semantic data corresponding to each of the candidate particle emitters; and generating the target particle special effect based on the target particle emitters corresponding to each of the visual elements. The method can improve the generation efficiency of the particle special effect and reduce the professional requirements for special effect producers.
Need to check novelty before this filing date? Find Prior Art