The rapid development of machine learning technologies in recent years has led to the
emergence of CNN-based sensors or ML-enabled smart sensor systems, which are …

Terrain is a vital element in construction of virtual scene in the digital era. Despite
considerable progress has been made in Generative Adversarial Network (GAN) based …

Terrain-aware locomotion has become an emerging topic in legged robotics. However, it is
hard to generate diverse, challenging, and realistic unstructured terrains in simulation, which …

Synthetic terrain realism is critical in VR applications based on computer graphics (eg,
games, simulations). Although fast procedural algorithms for automated terrain generation …

Traditionally, video-game maps are either made by hand, requiring many man-hours to
produce good results, or made using Procedural Content Generation (PCG) techniques …

Procedural terrain generation is becoming more widespread with numerous applications in
different domains, like video games, movies, and simulations. As the need for content size …

Abstract This paper describes “Artificiale Rilievo”, the first work of architectural sculptural
relief produced by a generative adversarial network (GAN). Technically, the authors present …

В данной работе предлагается подход к генерации наборов изображений путем
фотореалистичного рендеринга с управляемой рандомизацией параметров 3D-сцен …

Traditional approaches to terrain heightmap generation rely on geometric methods to
generate a matrix of elevation values using noise functions. More advanced approaches …

Procedural Content Generation via Machine Learning (PCGML) has been studied to
generate terrain maps, but many studies focus on height maps and lack human control. We …