Differentiable Visual Computing
@article{Li2019DifferentiableVC,
title={Differentiable Visual Computing},
author={Tzu-Mao Li},
journal={ArXiv},
year={2019},
volume={abs/1904.12228}
}Derivatives of computer graphics, image processing, and deep learning algorithms have tremendous use in guiding parameter space searches, or solving inverse problems. As the algorithms become more sophisticated, we no longer only need to differentiate simple mathematical functions, but have to deal with general programs which encode complex transformations of data. This dissertation introduces three tools for addressing the challenges that arise when obtaining and applying the derivatives forβ¦Β CONTINUE READING
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