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by tg_bomze on 2020-06-19 (UTC).

Face Depixelizer

Given a low-resolution input image, model generates high-resolution images that are perceptually realistic and downscale correctly.

😺GitHub: https://t.co/0WBxkyWkiK
📙Colab: https://t.co/q9SIm4ha5p

P.S. Colab is based on thehttps://t.co/fvEvXKvWk2 pic.twitter.com/lplP75yLha

— Bomze (@tg_bomze) June 19, 2020
cvapplicationw_code
by osazuwa on 2020-06-20 (UTC).

An image of @BarackObama getting upsampled into a white guy is floating around because it illustrates racial bias in #MachineLearning. Just in case you think it isn't real, it is, I got the code working locally. Here is me, and here is @AOC. pic.twitter.com/kvL3pwwWe1

— Robert Osazuwa Ness (@osazuwa) June 20, 2020
biascv
by osazuwa on 2020-06-20 (UTC).

I am pointing out the limits and social implications of deep generative models. I'm not deriding the academic contributions of these authors. Deep gen modeling lit is a bit hypish, showing their limitations helps us understand how they could be made useful https://t.co/0IKNlLMCmB

— Robert Osazuwa Ness (@osazuwa) June 20, 2020
researchcvbias
by hardmaru on 2020-06-21 (UTC).

☝️ This is how models trained on Celeb-A might perceive the world.

If you’re looking to learn more about tackling ML bias, I recommend checking out the work on “Model Cards” by @mmitchell_ai et al.https://t.co/WFtIk8CiKOhttps://t.co/p44qM7aM5B pic.twitter.com/rCmezP8lMn

— hardmaru (@hardmaru) June 21, 2020
cvbiasresearch

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