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相关论文: Generating Redstone Style Cities in Minecraft

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Procedural city generation that focuses on believability and adaptability to random terrain is a difficult challenge in the field of Procedural Content Generation (PCG). Dozens of researchers compete for a realistic approach in challenges…

This paper introduces the settlement generation competition for Minecraft, the first part of the Generative Design in Minecraft challenge. The settlement generation competition is about creating Artificial Intelligence (AI) agents that can…

人工智能 · 计算机科学 2018-08-01 Christoph Salge , Michael Cerny Green , Rodrigo Canaan , Julian Togelius

This paper presents a method for generating floor plans for structures in Minecraft (Mojang 2009). Given a 3D space, it will auto-generate a building to fill that space using a combination of constrained growth and cellular automata. The…

人机交互 · 计算机科学 2019-06-13 Michael Cerny Green , Christoph Salge , Julian Togelius

This article outlines what we learned from the first year of the AI Settlement Generation Competition in Minecraft, a competition about producing AI programs that can generate interesting settlements in Minecraft for an unseen map. This…

With growing interest in Procedural Content Generation (PCG) it becomes increasingly important to develop methods and tools for evaluating and comparing alternative systems. There is a particular lack regarding the evaluation of generative…

人工智能 · 计算机科学 2023-09-12 Jean-Baptiste Hervé , Oliver Withington , Marion Hervé , Laurissa Tokarchuk , Christoph Salge

The GDMC AI settlement generation challenge is a PCG competition about producing an algorithm that can create an "interesting" Minecraft settlement for a given map. This paper contains a collection of written experiences with this…

In the Minecraft Collaborative Building Task, two players collaborate: an Architect (A) provides instructions to a Builder (B) to assemble a specified structure using 3D blocks. In this work, we investigate the use of large language models…

计算与语言 · 计算机科学 2024-06-26 Chalamalasetti Kranti , Sherzod Hakimov , David Schlangen

Procedural content generation for games is a growing trend in both research and industry, even though there is no consensus of how good content looks, nor how to automatically evaluate it. A number of metrics have been developed in the…

人工智能 · 计算机科学 2022-04-11 Jean-Baptiste Hervé , Christoph Salge

This paper presents a two-step generative approach for creating dungeons in the rogue-like puzzle game MiniDungeons 2. Generation is split into two steps, initially producing the architectural layout of the level as its walls and floor…

Recently, procedural content generation has exhibited considerable advancements in the domain of 2D game level generation such as Super Mario Bros. and Sokoban through large language models (LLMs). To further validate the capabilities of…

人工智能 · 计算机科学 2024-06-14 Shiying Hu , Zengrong Huang , Chengpeng Hu , Jialin Liu

Real-time generation of natural-looking floor plans is vital in games with dynamic environments. This paper presents an algorithm to generate suburban house floor plans in real-time. The algorithm is based on the work presented in [1].…

图形学 · 计算机科学 2012-11-27 Maysam Mirahmadi , Abdallah Shami

The automated generation of interactive 3D cities is a critical challenge with broad applications in autonomous driving, virtual reality, and embodied intelligence. While recent advances in generative models and procedural techniques have…

计算机视觉与模式识别 · 计算机科学 2026-03-02 Zishan Liu , Zecong Tang , RuoCheng Wu , Xinzhe Zheng , Jingyu Hu , Ka-Hei Hui , Haoran Xie , Bo Dai , Zhengzhe Liu

This paper proposes a procedural content generator which evolves Minecraft buildings according to an open-ended and intrinsic definition of novelty. To realize this goal we evaluate individuals' novelty in the latent space using a 3D…

机器学习 · 计算机科学 2022-09-08 Matthew Barthet , Antonios Liapis , Georgios N. Yannakakis

We introduce the Chronicle Challenge as an optional addition to the Settlement Generation Challenge in Minecraft. One of the foci of the overall competition is adaptive procedural content generation (PCG), an arguably under-explored problem…

This work introduces World-GAN, the first method to perform data-driven Procedural Content Generation via Machine Learning in Minecraft from a single example. Based on a 3D Generative Adversarial Network (GAN) architecture, we are able to…

机器学习 · 计算机科学 2021-06-21 Maren Awiszus , Frederik Schubert , Bodo Rosenhahn

There are a range of metrics that can be applied to the artifacts produced by procedural content generation, and several of them come with qualitative claims. In this paper, we adapt a range of existing PCG metrics to generated Minecraft…

人工智能 · 计算机科学 2021-07-07 Jean-Baptiste Hervé , Christoph Salge

Generating realistic building layouts for automatic building design has been studied in both the computer vision and architecture domains. Traditional approaches from the architecture domain, which are based on optimization techniques or…

计算机视觉与模式识别 · 计算机科学 2025-04-15 Jiachen Liu , Yuan Xue , Haomiao Ni , Rui Yu , Zihan Zhou , Sharon X. Huang

Modeling and designing urban building layouts is of significant interest in computer vision, computer graphics, and urban applications. A building layout consists of a set of buildings in city blocks defined by a network of roads. We…

计算机视觉与模式识别 · 计算机科学 2023-07-20 Liu He , Daniel Aliaga

When generating technical instructions, it is often convenient to describe complex objects in the world at different levels of abstraction. A novice user might need an object explained piece by piece, while for an expert, talking about the…

计算与语言 · 计算机科学 2020-10-09 Arne Köhn , Julia Wichlacz , Álvaro Torralba , Daniel Höller , Jörg Hoffmann , Alexander Koller

Task environments developed in Minecraft are becoming increasingly popular for artificial intelligence (AI) research. However, most of these are currently constructed manually, thus failing to take advantage of procedural content generation…

人工智能 · 计算机科学 2023-01-09 Adarsh Pyarelal , Aditya Banerjee , Kobus Barnard
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