Terrains are a crucial component of three‐dimensional scenes and are present in many
Computer Graphics applications. Terrain modeling methods focus on capturing landforms in …

Deep learning is now widely used as an efficient tool for medical image classification and
segmentation. However, conventional machine learning techniques are still more accurate …

The MMX Rover, developed by CNES and DLR, will fly to and explore the surface of the
Martian Moon Phobos within the JAXA Martian Moon Exploration Mission. It will be the first …

City population has been growing rapidly worldwide due to urban expansion, which can
bring negative impacts on local ecosystem services (ES). Efficient tools for urban design and …

Software breast phantoms are increasingly seeing use in preclinical validation of breast
image acquisition systems and image analysis methods. Phantom realism has been proven …

This paper proposes a novel adaptive multi-resolution framework for generating terrains.
Our framework combines diffusion-based generative network and novel frequency …

Neutral landscape models based on fractal algorithms are used widely by landscape
ecologists. Perlin noise is a spectral synthesis algorithm that has not been widely adopted …

Mountainous digital terrains are an important element of many virtual environments and find
application in games, film, simulation and training. Unfortunately, while existing synthesis …

Terrain is an essential part of any outdoor environment and, consequently, many techniques
have appeared that deal with the problem of its automatic generation, such as procedural …

High-quality terrain rendering has been the focus of many visualization applications over
recent decades. Many terrain rendering methods use the strategy of Level of Detail (LOD) to …