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Adaptive & Multi-Resolution Procedural Infinite Terrain Generation with Diffusion Models and Perlin NoisePublished in Association for Computing Machinery
2022
This paper proposes a novel adaptive multi-resolution framework for generating terrains. Our framework combines diffusion-based generative network and novel frequency separated terrain features for terrain patch generation. Additionally, we propose to leverage learnable terrain super-resolution for enhancing generated terrain patch followed by novel kernel-based blending of these patches using Perlin noise to generate infinite terrain with realistic terrain features. We provide a comprehensive quantitative and qualitative evaluation of the proposed framework. © 2022 ACM.
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About the journal
| Journal | ACM International Conference Proceeding Series |
|---|---|
| Publisher | Association for Computing Machinery |
Authors (1)
Avinash Sharma- Department of Computer Science & Engineering IIT Jodhpur
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