.png){kind=icon}
.png){kind=icon}
Return
Dynamic Wave Trains: A Procedural Approach to Spatially Varying Ocean Synthesis
.png){kind=icon}
PRE
AI
DOI：10.1111/cgf.70495.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Vast oceans are a critical component of many virtual environments. While procedural methods efficiently generate non-repetitive, large-scale content with low memory footprints, they usually lack the ability to model in real-time local interactions with obstacles such as diffraction, reflection and refraction, or spatial variations such as localized wind ripples. We present a procedural ocean synthesis method that addresses this by enabling local control over wave properties including frequency, orientation, velocity and amplitude. By controlling a sum of independent wave trains, our approach seamlessly integrates spatial variations and wavelength-dependent interactions with the environment. The model allows for high performance parallel evaluation at any scale, enabling the real-time rendering and filtering of height fields, normal maps and rough BRDF, depending on rendering requirements. Additionally, we leverage the phase information encoded in the model to simulate secondary effects such as foam at a low computational cost.
Keywords:
Procedural ocean synthesis
Spatial variations
Real-time rendering
Filtering
Virtual environments
Natural phenomena
Journal
IF:
2.9
Papers:
496
Citations:
1.1W