https://sighack.com/post/getting-creative-with-perlin-noise-fields #artificialintelligence #generativeart #coding #creativity #PerlinNoise #HackerNews #ngated
Getting Creative with Perlin Noise Fields
https://sighack.com/post/getting-creative-with-perlin-noise-fields
#HackerNews #PerlinNoise #CreativeCoding #GenerativeArt #ComputerGraphics #TechInnovation
Getting Creative with Perlin Noise Fields
https://sighack.com/post/getting-creative-with-perlin-noise-fields
Tried making a new kind of noise.
this is the length being presented
Here is code
#glsl #graphics #perlinnoise
Terrain Diffusion: A Diffusion-Based Successor to Perlin Noise
https://arxiv.org/abs/2512.08309
#HackerNews #Terrain #Diffusion #DiffusionBased #PerlinNoise #ProceduralGeneration #ComputerGraphics

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 fidelity but remain generally confined to bounded canvases. We introduce InfiniteDiffusion, a training-free algorithm that reformulates diffusion sampling for lazy and unbounded generation, bridging the fidelity of diffusion models with the properties that made procedural noise indispensable: seamless infinite extent, seed-consistency, and constant-time random access. To demonstrate the utility of this approach, we present Terrain Diffusion, a framework for learned procedural terrain generation with a procedural noise-like interface. Our framework outpaces orbital velocity by 9 times on a consumer GPU, enabling realistic terrain generation at interactive rates. We integrate a hierarchical stack of diffusion models to couple planetary context with local detail, a compact Laplacian encoding to stabilize outputs across Earth-scale dynamic ranges, and an open-source infinite-tensor framework for constant-memory manipulation of unbounded tensors. Together, these components position diffusion models as a practical foundation for the next generation of infinite virtual worlds.
How do you programmatically generate non-uniform, natural forms? Perlin noise is a foundational algorithm for this task.
This Silphium Design guide provides a technical walkthrough for using Perlin noise in JavaScript to create animated 3D mountain terrain. It covers 2D heightmaps, fractal noise (fBm), and 3D implementation.
A solid resource for generative art and digital biophilia.
Read the guide: https://silphiumdesign.com/natural-forms-mountain-animation-perlin-noise/
#JavaScript #PerlinNoise #GenerativeArt #ProcGen #p5js #Threejs
Entspannungsprogrammieren am Abend.
Perlin-Rauschen gibt es auch in hรถheren Dimensionen โ hier animiert auf nur einem von 3 Parametern.