“Terra Mars: When Earth Shines on Mars Through AI’s Imagination” by Weili

  • ©Shi Weili

  • ©Shi Weili

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Title:

    Terra Mars: When Earth Shines on Mars Through AI's Imagination

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Abstract:


    Terra Mars presents Mars in the visual style of Earth. An ANN was trained to learn the relation between topographical data and satellite imagery of Earth and was applied to topographical data of Mars to generate imaginary satellite images. This project suggests a new approach to creative applications of AI.

    Terra Mars presents artistic renderings of Mars with visual reference to our very own planet Earth. The author trained an artificial neural network with topographical data and satellite imagery of Earth so that it can learn the relation between them. The author then applied the trained model to topographical data of Mars to generate images that resemble satellite imagery of Earth. This project suggests a new approach to creative applications of artificial intelligence—using its capability of remapping to broaden the domain of artistic imagination.

References:


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    4. F.B. Salisbury, “Martian Biology,” Science 136, No. 3510, 17–26 (1962)
    5. “Blue Marble: Next Generation” (NASA, 2005).
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    7. Mars HRSC MOLA Blended DEM Global 200m v2 (U.S. Geological Survey, 2017).
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    12. D. Ulyanov, A. Vedaldi and V. Lempitsky, “Instance Normalization: The Missing Ingredient for Fast Stylization,” arXiv preprint, arXiv:1607.08022 (2016).
    13. P. Micikevicius et al. “Mixed Precision Training,” International Conference on Learning Representations 2018.
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    15. K. Gill, Living Mars, www.flickr.com/photos/kevinmgill/sets/72157651708639278 (Flickr, 2012–2018), accessed 15 January 2019.
    16. Ittiz, Realistic Mars, www.deviantart.com/ittiz/art/Realistic-Mars-146486184 (DeviantArt, 2009), accessed 15 January 2019.


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©Shi Weili ©Shi Weili ©Shi Weili ©Shi Weili ©Shi Weili ©Shi Weili

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