Before and after #DeOldify of #DoctorWho 1 and 2pic.twitter.com/ekn169FlOt
Obsessively pursuing the perfection of image and video colorization/restoration using deep learning. Creator of DeOldify.
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Before and after #DeOldify of #DoctorWho 1 and 2pic.twitter.com/ekn169FlOt
John Breslin Retweeted Paul Mara
John Breslin added,
#Whovians: It's easy to do this for B&W #DoctorWho video
Go to https://colab.research.google.com/github/jantic/DeOldify/blob/master/VideoColorizerColab.ipynb …
Press SHIFT+ENTER to go through steps (or click on each [ ] box and play icon) but don't run one that says Colorize
Enter B&W video URL in text box first: SHIFT+ENTER again (or [ ] and play)
Same to colorise B&W images (#DoctorWho, family photos!)
Go to https://colab.research.google.com/github/jantic/DeOldify/blob/master/ImageColorizerColab.ipynb …
Press SHIFT+ENTER to go through steps (or click on each [ ] box and play icon) but don't run one that says Colorize
Enter B&W image URL in text box first: SHIFT+ENTER again (or [ ] and play)
John Breslin Retweeted John Breslin
You may also like these:https://twitter.com/johnbreslin/status/1126736112980856832 …
John Breslin added,
Goodbye Susan from "The Dalek Invasion of Earth"
This time with audio!
#DoctorWho #DeOldify @realbadger @WhovianLeap @dantalksdrwhopic.twitter.com/4encPkPW9l
The Last Move from "The Celestial Toymaker" - some issues at the end when the Doctor looks down but otherwise does a good job
#DoctorWho #DeOldifypic.twitter.com/7kmapvIbPw
Our lives are different to anybody else's... from "The Tomb of the Cybermen" (Patrick Troughton)
#DoctorWho #DeOldifypic.twitter.com/3ZDkGveisN
Some notes: (1) Human experts carrying out colorisation is still the best! Those people rock, and will bring in historical accuracy, knowledge and flair that cannot be replicated as of yet
These are all so amazing! I have several questions to ask and hope I may. Do you think the largest immediate improvement in the colour of the outputs is by training the model on inputs/outputs from these experts or is there still a lot to gain from improving on the model itself?
/3 would be time to start looking into creative ways to train/reason about that sort of thing. I have ideas on that too but I think it's premature right now. I actually think something more along the lines of tying image recognition to word/document vectors
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