Learnable Fractal Flames
<|reference_start|>Learnable Fractal Flames: This work presents a differentiable rendering approach that allows latent fractal flame parameters to be learned from image supervision. The approach extends the state-of-the-art in differentiable fractal rendering through support for color images, non-linear generator functions, and multi-fractal compositions. With these additions, differentiable rendering is now a viable tool for the generation of fractal artwork.<|reference_end|>
@article{bannister2024learnable,
    title={Learnable Fractal Flames},
    author={Jordan J. Bannister and Derek Nowrouzezahrai},
    journal={arXiv preprint arXiv:2406.09328},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.09328},
    primaryClass={cs.GR}
}