Game level generation method and device, electronic equipment and storage medium

Abstract

The invention provides a game level generation method and device, electronic equipment and a storage medium. The method comprises steps of determining a target hidden variable and a level attribute of a to-be-generated target level; inputting the target hidden variable and the level attribute into a pre-trained level generation model to obtain an output result; wherein the level attribute is used for controlling the level generation model to output an output result matched with the level attribute; and generating a target level based on the output result. The method is advantaged in that the level attribute in the mode is used for controlling the level generation model to output the output result matched with the level attribute, so the game level with the specific attribute can be obtained, the corresponding level does not need to be obtained in a search mode, level generation efficiency is improved, and meanwhile, generation requirements of various levels of the game can be met.

Description

technical field [0001] The present invention relates to the technical field of games, in particular to a game level generation method, device, electronic equipment and storage medium. Background technique [0002] A large number of game levels are set in some games, and the content of each game level is different, and the game levels also have attributes such as specific level types and arrangements. Game levels are usually manually designed and tested by game planners, and then the game levels are adjusted based on the test results. Therefore, it takes a lot of time to generate a game level. In order to automatically generate game levels, in related technologies, hidden variables can be searched from the hidden variable space, and then the hidden variables can be input into the trained GAN network to output game levels. Since hidden variables belong to noise data, it is possible to control the GAN network to output game levels with various contents, but it is difficult to ...

AI Technical Summary

Problems solved by technology

Since hidden variables belong to noise data, it is possible to control the GAN network to output game levels with various contents, but it is difficult to control the GAN network to generate game levels with specific attributes based on noise data, and it is difficult to meet the level generation requirements of the game

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