tag > Generative
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"MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer": https://arxiv.org/abs/1809.07600 code: https://github.com/brunnergino/MIDI-VAE
"Symbolic Music Genre Transfer with CycleGAN": https://arxiv.org/abs/1809.07575 code: https://github.com/sumuzhao/CycleGAN-Music-Style-Transfer #Generative #Music #ML
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"Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial Networks":
https://arxiv.org/abs/1809.06647v1 #ML #Generative
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Neural Animation and Reenactment of Human Actor Videos:
http://gvv.mpi-inf.mpg.de/projects/wxu/HumanReenactment/ -
Video-based Reconstruction of 3D People Models:
Paper: https://graphics.tu-bs.de/upload/publications/alldieck2018videopeople.pdf
Code: https://github.com/thmoa/videoavatars -
"My journey into fractals" - by @Bananaft:
https://medium.com/@bananaft/my-journey-into-fractals-d25ebc6c4dc2 -
Keynote by @plamere from Spotify on having fun with music and datascience:
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Human-AI Collaborated Graffiti:
https://howtogeneratealmostanything.com/graffiti/2018/09/26/episode5.html -
sCrAmBlEd?HaCkZ! (2006)
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"Pseudofractals! Accidental aesthetics where math meets pixels" - talk by @jes5199:
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"Visualizing and Understanding Generative Adversarial Networks":
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1 in 3 Art Students Can't Tell Famous Paintings from Paintings by Monkeys: http://gawker.com/5776710/1-in-3-art-students-cant-tell-famous-paintings-from-paintings-by-monkeys #Generative #Art
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Semantic Soft Segmentation (SIGGRAPH 2018)
http://cfg.mit.edu/sites/cfg.mit.edu/files/sss_3.pdf -
Narrow-Band Topology Optimization on a Sparsely Populated Grid - SIGGRAPH Asia 2018
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A Future with Generative Design - talk by Morgan Fabian (Autodesk)
Generative Design - talk by Erin Bradner (Autodesk)
Generative Design: Co-creating with A.I - talk by Erin Bradner (Autodesk)
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Presentation on "Grammar Variational Autoencoder"
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"Visual Rhythm and Beat" - SIGGRAPH 2018 work by @AbeDavis on manipulating dance in Video: http://abedavis.com/visualbeat/ #Generative #ML
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The reason why people are fine with "templates" that are highly constrained in their possible creative output styles (& don't need truly creative generative "AI's"), is the fact that most creative fields adhere to fashion cycles: You want something similar to X, not something new.
The majority of the commercial "AI for creative field X" offerings have essentially figured out how to do clever use of dynamic templates, combined with massive media libraries. The results are often impressive but have very little todo with "AI", beyond a useful marketing term. -
Made a new Algorave tune. Music live coded with TidalCycles, Video generated using some weird neural nets.
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Genereative Art Speedrun - talk by @twholman, creator of https://generativeartistry.com/:
