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Developing comprehensive explicit world models is crucial for understanding and simulating real-world scenarios. Recently, Procedural Controllable Generation (PCG) has gained significant attention in large-scale scene generation by enabling…

Computer Vision and Pattern Recognition · Computer Science 2024-12-18 Mengqi Zhou , Yuxi Wang , Jun Hou , Shougao Zhang , Yiwei Li , Chuanchen Luo , Junran Peng , Zhaoxiang Zhang

In some entertainment and virtual reality applications, it is necessary to model and draw the real world realistically, so as to improve the fidelity of natural scenes and make users have a better sense of immersion. However, due to the…

Graphics · Computer Science 2022-04-08 Yinhui Yang , Rui Wang , Yuchi Huo

Procedural content generation (PCG) has made substantial progress in shaping static 2D/3D geometry, while most methods treat gameplay mechanics as auxiliary and optimize only over space. We argue that this limits controllability and…

Artificial Intelligence · Computer Science 2026-02-24 Kaijie Xu , Clark Verbrugge

The term Procedural Content Generation (PCG) refers to the (semi-)automatic generation of game content by algorithmic means, and its methods are becoming increasingly popular in game-oriented research and industry. A special class of these…

Artificial Intelligence · Computer Science 2023-02-17 Vanessa Volz , Boris Naujoks , Pascal Kerschke , Tea Tusar

This paper studies the problem of extracting planar regions in uneven terrains from unordered point cloud measurements. Such a problem is critical in various robotic applications such as robotic perceptive locomotion. While existing…

Computer Vision and Pattern Recognition · Computer Science 2023-11-22 Yinghan Sun , Linfang Zheng , Hua Chen , Wei Zhang

Scaling generative inverse and forward rendering to real-world scenarios is bottlenecked by the limited realism and temporal coherence of existing synthetic datasets. To bridge this persistent domain gap, we introduce a large-scale, dynamic…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Zheng-Hui Huang , Zhixiang Wang , Jiaming Tan , Ruihan Yu , Yidan Zhang , Bo Zheng , Yu-Lun Liu , Yung-Yu Chuang , Kaipeng Zhang

Fieldwork still is the first and foremost source of insight in many disciplines of the geosciences. Virtual fieldwork is an approach meant to enable scientists trained in fieldwork to apply these skills to a virtual representation of…

Human-Computer Interaction · Computer Science 2025-01-16 Armin Bernstetter , Tom Kwasnitschka , Jens Karstens , Markus Schlüter , Isabella Peters

Large-scale scene data is essential for training and testing in robot learning. Neural reconstruction methods have promised the capability of reconstructing large physically-grounded outdoor scenes from captured sensor data. However, these…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Julian Ost , Andrea Ramazzina , Amogh Joshi , Maximilian Bömer , Mario Bijelic , Felix Heide

Deep reinforcement learning (RL) has shown impressive results in a variety of domains, learning directly from high-dimensional sensory streams. However, when neural networks are trained in a fixed environment, such as a single level in a…

Machine Learning · Computer Science 2018-11-30 Niels Justesen , Ruben Rodriguez Torrado , Philip Bontrager , Ahmed Khalifa , Julian Togelius , Sebastian Risi

3D terrain models are essential in fields such as video game development and film production. Since surface color often correlates with terrain geometry, capturing this relationship is crucial to achieving realism. However, most existing…

Graphics · Computer Science 2025-12-18 Kazuki Higo , Toshiki Kanai , Yuki Endo , Yoshihiro Kanamori

Procedurally generated video game content has the potential to drastically reduce the content creation budget of game developers and large studios. However, adoption is hindered by limitations such as slow generation, as well as low quality…

Neural and Evolutionary Computing · Computer Science 2022-04-15 Michael Beukman , Christopher W Cleghorn , Steven James

For decades, procedural worlds have been built on procedural noise functions such as Perlin noise, which are fast and infinite, yet fundamentally limited in realism and large-scale coherence. Conversely, diffusion models offer unprecedented…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Alexander Goslin

Physically based rendering is a discipline in computer graphics which aims at reproducing certain light and material appearances that occur in the real world. Complex scenes can be difficult to compute for rendering algorithms. This paper…

Graphics · Computer Science 2020-09-01 Elias Brugger , Christian Freude , Michael Wimmer

Sketch-based terrain generation seeks to create realistic landscapes for virtual environments in various applications such as computer games, animation and virtual reality. Recently, deep learning based terrain generation has emerged,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-15 Zexin Hu , Kun Hu , Clinton Mo , Lei Pan , Zhiyong Wang

The computational cost of video game graphics is increasing and hardware for processing graphics is struggling to keep up. This means that computer scientists need to develop creative new ways to improve the performance of graphical…

Neural and Evolutionary Computing · Computer Science 2020-12-18 Alexander Watson

Reconstructing photo-realistic large-scale scenes from images, for example at city scale, is a long-standing problem in computer graphics. Neural rendering is an emerging technique that enables photo-realistic image synthesis from…

Graphics · Computer Science 2025-07-22 Yaru Liu , Derek Nowrouzezahri , Morgan Mcguire

Maps are a very important component of strategy games, and a time-consuming task if done by hand. Maps generated by traditional PCG techniques such as Perlin noise or tile-based PCG techniques look unnatural and unappealing, thus not…

Machine Learning · Computer Science 2023-01-10 Vasco Nunes , João Dias , Pedro A. Santos

Movie productions use high resolution 3d characters with complex proprietary rigs to create the highest quality images possible for large displays. Unfortunately, these 3d assets are typically not compatible with real-time graphics engines…

Graphics · Computer Science 2020-03-24 Dominik Borer , Lu Yuhang , Laura Wuelfroth , Jakob Buhmann , Martin Guay

Procedural Content Generation (PCG) is the algorithmic generation of content, often applied to games. PCG and PCG via Machine Learning (PCGML) have appeared in published games. However, it can prove difficult to apply these approaches in…

Artificial Intelligence · Computer Science 2023-09-26 Emily Halina , Matthew Guzdial

Procedural materials, represented as functional node graphs, are ubiquitous in computer graphics for photorealistic material appearance design. They allow users to perform intuitive and precise editing to achieve desired visual appearances.…

Computer Vision and Pattern Recognition · Computer Science 2025-02-19 Beichen Li , Rundi Wu , Armando Solar-Lezama , Changxi Zheng , Liang Shi , Bernd Bickel , Wojciech Matusik