Awards & Nominations
FEZA. has received the following awards and nominations. Way to go!
Putting the 'Art' in Artemis
DeepArtemis
Summary
DeepArtemis is a project which brings classic and modern together. It uses DeepArt to transfer the style of a well-known painting to a photograph related to space missions. By this technique, it makes a static photograph more dynamic and attractive. After this process, a piece is cut out from the generated image, and the original piece is inserted into the place of the missing part. The aim of this action is to create an intertwined piece of art, which enables people to engage with Artemis project through the painting they are already familiar with. Last but not least, in order to create an informative poster, a brief text related to the mission is added.
How We Addressed This Challenge
We wanted to create awareness about Artemis Space Mission with the help of art pieces. It is very important because, since the Artemis mission will be "one more giant leap for mankind", we wanted to present an introductory and interesting narrative in order to facilitate access to information and to benefit from art for this. DeepArtemis explains the Artemis mission and detailed information on the mission with creative visuals of the topics mentioned. In this way, our innovative result aims to reach and inspire everyone from 7 to 70.
How We Developed This Project
We got our inspiration from the Artemis Mission itself. We wanted to create a piece of art worthy of presenting this great event. We desired to reach as many people as we can with the help of art.
We used deepart.io for this purpose. We tried hundreds of different paintings with different photographs to achieve the best outputs. It was hard to find the perfect match, but the final images worth it.
How We Used Space Agency Data in This Project
We collected HD photographs which are about the Artemis mission. The photographs include SLS rockets, xEMU space suit, spacecraft, moon lander, astronauts and Kennedy Space Center which will use in the mission. They are from NASA Images or another platforms. We meet them with deep learning algorithms via DeepArt.
They are listed below.
1) https://www.nasa.gov/image-feature/sls-heavy-lift-rocket (SLS Rocket)
2) https://www.nasa.gov/image-feature/artist-concept-of-an-astronaut-in-the-xemu-space-suit/ (xEMU Space Suit)
3) https://www.nasa.gov/exploration/systems/sls/multimedia/nighttime-view-of-sls-block1b-cargo-on-mobile-launcher.html (SLS on Mobile Launcher)
4) https://www.nasa.gov/image-feature/space-launch-system-mock-up-arrives-at-kennedy-for-testing (Kennedy Space Center)
5) https://www.nasa.gov/specials/artemis/ (Moon Lander)
Project Demo
Our YouTube Video: https://youtu.be/eJdYv7iJCpU
Project Code
Data & Resources
Our main tool was deepart.io. We used DeepArt to generate all our raw images from original photograph and style image.
We used PicsArt Photo Studio to combine the images and add the texts. Final posters were done in this app.
The photographs are listed. (from NASA Image and other resources.)
1) https://www.nasa.gov/image-feature/sls-heavy-lift-rocket (SLS Rocket)
2) https://www.nasa.gov/image-feature/artist-concept-of-an-astronaut-in-the-xemu-space-suit/ (xEMU Space Suit)
3) https://www.nasa.gov/exploration/systems/sls/multimedia/nighttime-view-of-sls-block1b-cargo-on-mobile-launcher.html (SLS on Mobile Launcher)
4) https://www.nasa.gov/image-feature/space-launch-system-mock-up-arrives-at-kennedy-for-testing (Kennedy Space Center)
5) https://www.nasa.gov/specials/artemis/ (Moon Lander)
6) https://tr.euronews.com/2020/05/01/ay-a-donus-nasa-artemis-program-icin-elon-musk-ve-jeff-bezos-un-sirketleriyle-anlast (Astronauts of Artemis)
7) https://www.techwillsaveus.com/blog/history-of-space-exploration/ (Astronaut and Spacecraft)
The famous paintings are listed.
1) Starry Night by Vincent van Gogh
2) Scream by Edvard Munch
3) Bravo,Bravissimo by Leonid Afremov
4) Abondoned by Winter by Leonid Afremov
5) Van Gogh Never Saw Eiffel by Aja Trier