Level Graph – Incremental Procedural Generation of Indoor Levels using Minimum Spanning Trees

Lipinski, Bartosz von Rymon; Seibt, Simon; Roth, Johannes; Abe, Dominik

doi:10.1109/cig.2019.8847956

Cited by 7 publications

(11 citation statements)

References 16 publications

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“…This challenge is directly related to our first design pillar, that designers should interact with our system by designing content. Many researchers [2], [5], [6], [13] have made contributions towards addressing this challenge. The work by Liapis et al [2] and Baldwin et al [6] are particularly relevant to our goals and inform our approach.…”

Section: B Mixed-initiative Approaches To Content Generationmentioning

confidence: 99%

“…Despite the clear benefits of PCG algorithms, there are still a number of open challenges in the field. For example, the vast majority of PCG algorithms are highly problem specific, often designed for a single genre of game [9] or limited to specific geometries [13]. A frequently-cited limitation is the lack of control human designers have when generating content using PCG [5], [13].…”

Section: Introductionmentioning

confidence: 99%

“…For example, the vast majority of PCG algorithms are highly problem specific, often designed for a single genre of game [9] or limited to specific geometries [13]. A frequently-cited limitation is the lack of control human designers have when generating content using PCG [5], [13]. PCG algorithms are often non-intuitive, requiring designers to tweak and adjust tuning parameters which are difficult to relate to their goals.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study

Walton¹,

Rahat²,

Stovold³

2022

IEEE Trans. Games

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Results from a triple-blind mixed-method user study into the effectiveness of mixed-initiative tools for the procedural generation of game levels are presented. A tool which generates levels using interactive evolutionary optimisation was designed for this study which (a) is focused on supporting the designer to explore the design space and (b) only requires the designer to interact with it by designing levels. The tool identifies level design patterns in an initial hand-designed map and uses that information to drive an interactive optimisation algorithm. A rigorous user study was designed which compared the experiences of designers using the mixed-initiative tool to designers who were given a tool which provided completely random level suggestions. The designers using the mixed-initiative tool showed an increased engagement in the level design task, reporting that it was effective in inspiring new ideas and design directions. This provides significant evidence that procedural content generation can be used as a powerful tool to support the human design process.

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Section: B Mixed-initiative Approaches To Content Generationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study

Walton¹,

Rahat²,

Stovold³

2022

IEEE Trans. Games

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show abstract

“…O NE of the most tedious and mundane tasks in the 3D game development is the preparation of the 3D scenes for individual game levels [1], [2], [3]. Often these levels are similar to each other because they are a modified versions of a previous ones [1], [2], [3]. The scene content is typically composed of the background and adequately colored 3D models populating the given scene [1].…”

Section: Introductionmentioning

confidence: 99%

“…One of the ways to reduce the burden of the level design is to automate the process of scene content creation with procedural and machine learning (ML) methods [1], [2], [3], [4], [5], [6], [7], [8]. Besides the terrain creation which can be achieved separately, we can consider the automatic content creation process as a series of steps.…”

Section: Introductionmentioning

confidence: 99%

HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population

Kostiuk¹,

Stachura²,

Tadeja³

et al. 2021

Preprint

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Designing a 3D game scene is a tedious task that often requires a substantial amount of work. Typically, this task involves synthesis, coloring, and placement of 3D models within the game scene. To lessen this workload, we can apply machine learning to automate some aspects of the game scene development. Earlier research has already tackled automated generation of the game scene background with machine learning. However, model auto-coloring remains an underexplored problem. The automatic coloring of a 3D model is a challenging task, especially when dealing with the digital representation of a colorful, multipart object. In such a case, we have to "understand" the object's composition and coloring scheme of each part. Existing single-stage methods have their own caveats such as the need for segmentation of the object or generating individual parts that have to be assembled together to yield the final model. We address these limitations by proposing a two-stage training approach to synthesize auto-colored 3D models. In the first stage, we obtain a 3D point cloud representing a 3D object, whilst in the second stage, we assign colors to points within such cloud. Next, by leveraging the so-called triangulation trick, we generate a 3D mesh in which the surfaces are colored based on interpolation of colored points representing vertices of a given mesh triangle. This approach allows us to generate a smooth coloring scheme. Experimental evaluation shows that our two-stage approach gives better results in terms of shape reconstruction and coloring when compared to traditional single-stage techniques.

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Procedural content generation method for creating 3D graphic assets in Digital Twin

2023

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Level Graph – Incremental Procedural Generation of Indoor Levels using Minimum Spanning Trees

Cited by 7 publications

References 16 publications

Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study

Evaluating Mixed-Initiative Procedural Level Design Tools Using a Triple-Blind Mixed-Method User Study

HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population

Procedural content generation method for creating 3D graphic assets in Digital Twin

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