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mememoji - A facial expression classification system that recognises 6 basic emotions:
Code: https://github.com/JostineHo/mememoji #ML #Emotion
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"Generating Sentences from a Continuous Space" - PyTorch Implementation: https://github.com/timbmg/Sentence-VAE paper: https://arxiv.org/abs/1511.06349 #ML
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Visual Analysis of Clothing Style Trends in TV News:
code: https://github.com/sola777/video-analysis #ML -
Text-independent voice vectors: "Which Hollywood stars is most similar to my voice?"
code: https://github.com/andabi/voice-vector
demo: https://voice-vector-web.andabi.me/ #ML #Music
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The Conversation: Deep Audio-Visual Speech Enhancement:
https://arxiv.org/abs/1804.04121 #ML -
KidPen: A Stroke-based Method for Kid-style Sketches Synthesis from Photos:
https://dl.acm.org/citation.cfm?id=3149434 (paywalled. force open access version: https://sci-hub.tw/https://dl.acm.org/citation.cfm?id=3149434) #ML #Generative
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Two-Stream Convolutional Networks for Dynamic Texture Synthesis: #ML #Generative
Paper: https://arxiv.org/abs/1706.06982v4
Project: https://ryersonvisionlab.github.io/two-stream-projpage/
Code: https://github.com/ryersonvisionlab/two-stream-dyntex-synth
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Speech and Facial Animation - comparison of technical papers: #ML
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"What Kind Of Memes Would The AIs Meme If The AIs Could Meme Memes?":
https://steampunkopera.wordpress.com/2017/10/20/what-kind-of-memes-would-the-ais-meme-if-the-ais-could-meme-memes/
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Video Based Reconstruction of 3D People Models: https://arxiv.org/abs/1803.04758
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Collection of recent DeepFake videos
Marilyn Monroe Deepfake:
Obama Deepfake:
Putin Deepfake:
Nic Cage Deepfakes mini compilation:
Steve Buscemi as Sharon Stone, Basic Instinct:
Putin Trump Deepfake:
Donald Trump as Michael Scott:
Merkel Trump Deepfake:
A New Hope but Obi Wan is played by Ewan McGregor:
Matt Damon:
Starttrek Picard :
Terminator:
I Interviewed my Top 5 Favorite TechTubers:
How I used DeepFakes to spoof Techtubers:
Exploring DeepFakes: https://hackernoon.com/exploring-deepfakes-20c9947c22d9
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Thomas Edison said "Genius is 1% inspiration and 99% perspiration". While that might be true for the 0.0001% of the population which are geniuses, i find this more accurate:
"Creative work is 70% relaxation, 15% inspiration and 15% perspiration."
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#Prediction: Virtual pop-stars will globally be the dominant form of celebrities by 2025.
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Autonomous Generative Business (#AGB)
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MUNIT: Multimodal unsupervised image-to-image translation. Learn to translate one input dog image to a distribution of cat images without paired training data. #ML #Generative
Paper: https://arxiv.org/abs/1804.04732 - Code: github.com/nvlabs/munit
Tensorflow implementation: https://github.com/taki0112/MUNIT-Tensorflow
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Movie of the month: "The Square" - by dir. Ruben Östlund, 2017: https://en.wikipedia.org/wiki/The_Square_(2017_film) Haven't laughed this hard due to a movie in ages. Highly recommended, super smart & dry nordic comedy.
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Reclaim your autonomy: https://www.counterpunch.org/2018/04/12/turn-on-tune-in-drop-out-of-social-media/
Thus we return to Brian Chen’s advice: cold turkey. Take personal responsibility for your own social life. Go back to engaging flesh and blood people without tech companies serving as an intermediary. Eschew the narcissistic impulse to broadcast the excruciating minutiae of your life to the world. Refuse to accept the mandate that you must participate in social media in order to participate in society. Reclaim your autonomy.
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The parallels between using twitter and smoking nicotine are striking: A constant stream of micro rewards keeps one firmly focused on a virtual future, resulting in stress in the present moment. Unsustainable.
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Collection of Generative Video Editing Projects:
Dividation – Generative Music Video Editing (2015): http://www.juliastefan.com/dividation/
Computational Video Editing for Dialogue-Driven Scenes (2017):
http://graphics.stanford.edu/papers/roughcut/Magisto - Smart Video Editor & Maker (2018): https://www.magisto.com/
Kaffeine: Smart Video Editing using Machine Learning (2017):
http://www.kraenion.com/kaffeine/tech.htmlAdobe SceneStitch (2017):
https://www.theverge.com/2017/10/24/16533374/ai-fake-images-videos-edit-adobe-senseiFlo - Intelligent Camera & AI Movie Maker (2018):
https://itunes.apple.com/us/app/flo-intelligent-camera-ai-movie-maker/id1148937759?mt=8Lumen5 - Transform articles into videos in minutes (2018):
https://lumen5.comKlap - AI for automatic best moments detection (2018):
https://www.getklap.com/MovieGene: Evolutionary Video Production based on Genetic Algorithms (2007):
https://www.researchgate.net/publication/220867551_MovieGene_Evolutionary_Video_Production_Based_on_Genetic_Algorithms_and_Cinematic_PropertiesCreating video art with evolutionary algorithms (2007):
https://www.researchgate.net/publication/262361395_Creating_video_art_with_evolutionary_algorithmsNN assisted similar-movie-scene finding - by @quasimondo:
https://twitter.com/quasimondo/status/767107538089308160
https://twitter.com/quasimondo/status/766917626157158401Synopsis - Video metadata analysis and transcoding tools for artists, archival & retrieval, discovery, editorial and performance. Powered by OpenCV & TensorFlow. By @_vade:
https://github.com/synopsis
Videogrep: Automatic Supercuts with Python:
http://lav.io/2014/06/videogrep-automatic-supercuts-with-python/Neural network for video editing (patent, 2014):
https://patents.google.com/patent/WO2015109290A1Automated video editing will very soon be ‘good enough’ (2017):
http://alex4d.com/notes/item/automated-video-editing-is-now-good-enoughUnethical growth hacks: A look into the growing Youtube news bot epidemic (2018): https://hackernoon.com/unethical-growth-hacks-a-look-into-the-growing-youtube-news-bot-epidemic-e1ef8c98b605
videdit - A Deep Learning based automatic video editor: https://github.com/brunoklein99/videdit
What Happens When You Let Machines Edit All of Your Videos?: http://www.slate.com/blogs/future_tense/2014/09/12/automated_video_editing_livelight_and_other_machines_that_edit_raw_footage.html
I’m Worried About The Future of Editing:
https://larryjordan.com/blog/im-worried-about-the-future-of-editing/Case study of generative editing audiovisual project (2016):
http://2016.xcoax.org/pdf/xcoax2016-Berga.pdf -
Fauxtelligence - When key human decisions get rendered invisible to maintain illusion machines & systems smarter than they actually are.
