PHphonebucket·Jul 8, 2020
There are much better ways to generate faces than using this, e.g. https://github.com/tkarras/progressive_growing_of_gans
In Yoloface-500k: ultra-light real-time face detection model, 500kbtkarras
progressive_growing_of_gans
Python2017–2020
tkarras / progressive_growing_of_gans
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
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7Mentions
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Progressive Growing of GANs for Improved Quality, Stability, and Variation
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year7 dated mentions
Observed mentions: 2017-10-27 22:38:15 UTC to 2020-07-08 16:57:52 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 3 | 1 | 2 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 3 | 1 | 2 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
7 sourcesThis is the twitter of the guy who made the video
https://twitter.com/highqualitysh1t/status/10595495983295201...
This is the implementation:
"Progressive Growing of GANs for Improved Quality, Stability, and Variation- – Official TensorFlow implementation of the ICLR 2018 paper"
https://github.com/tkarras/progressive_growing_of_gans
In Computer generated faces using GAN with 50,000 images from a photoboothI don't know exactly what was used to upscale here, but Progressive Growing of GANs[0] was a breakthrough last year that proved at least 1024x1024 was viably producable.
The short explanation is: Train and freeze the most basic layer of the model progressively to "let the network" understand higher resolution concepts one piece at the time, and avoid mode-collapse.
The network architecture illustrating this a bit better is shown on page 3 of the paper [1]
[0]: https://github.com/tkarras/progressive_growing_of_gans
[1]: https://arxiv.org/pdf/1710.10196.pdf
In Christie’s sells its first AI portrait for $432kAI generation of fake celeb images
81 points · Open discussionWe do have a long way to go, but AI has made huge strides over the past few years, irrespective of the hype/marketing. Notably this year, AlphaZero, advances in generating images (https://github.com/tkarras/progressive_growing_of_gans), voice synthesis with Tacotron, etc. were all very impressive results. Not to mention all the recent advances in the theory of deep learning.
It's good to be on watch for the bullshit (the news stories about Facebook's chatbots' "language", most futurist's predictions, any hype about general artificial intelligence, replacing x% of jobs in y years), but don't throw the baby out with the bathwater.
IMO, unlike blockchain, AI/ML is undoubtedly here to stay, and it will have a huge effect on everything.
In AI Failures in 2017The authors have a GitHub repo containing code and links to the paper and more outputs:
https://github.com/tkarras/progressive_growing_of_gans
In Progressive Growing of GANs for Improved Quality, Stability, Variation [video]Progressive Growing of GANs for Improved Quality, Stability, and Variation
13 points · Open discussion