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Translate pro codem ad hiberi12/24/2023 ![]() While it's not an action series, her family are still yakuza and get involved in various battles, and Hibari does her part. Action Girl: A rare trans example with Hibari.The Ace: Hibari is this in spades, excelling not only in studies but is also a natural athlete, having the strength to throw megaton punches.This page accepts tropes from either version. It has no American release either (and also no European dubs), although partial or complete fansubs are available in various languages. The comic was also adapted into an anime series by Toei Animation, which ran for 35 episodes on Fuji TV and ended in 1984. This attracted one of the publication's first examples of a Periphery Demographic in young girls that were interested in the contemporary fashions featured across all four Oozora Sisters, and the series has been cited by 1990s Japanese entertainers as an influence on their own style.Ĭombining gangster comedy and lighthearted high school romance, with a unique leading lady who belonged firmly to both worlds and neither, it has since become a cult classic, and has been translated into several European languages (although not English, presumably because of its often risqué themes). ![]() The series often topped the magazine's weekly ratings for most of its brief run, and alongside Cat's Eye was one of the first series in Shonen Jump to feature a mostly female cast. It can not only transfer a pre-trained style of an artist to a photo.Stop!! Hibari-kun! is originally a shounen manga, written and drawn by one Hisashi Eguchi, that was published in the Shonen Jump magazine from 1981 to 1983. Papers: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks ( Main Page / GitHub / Paper ) The same image as in "1." has new visuals achieved by "2."ĬycleGAN changes the styles and visual features of an image without references to another images. Pre-trained feature modification is applied. The image is being analyzed by GAN (including pattern and object detection) 2. It’s actually, an Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (that’s precisely the name of the paper): 1. What’s this about: while BigGAN generates new images on the pre-trained basis, and StyleGAN transfers styles between two images, CycleGAN uses the single image to transfer its style or features into something different. CycleGAN - image-to-image translation without input-output pairs. The year 2019 was was also a crucial milestone for Natural Language Processing (GPT-2 by OpenAI etc.), but that’s another big topic I will cover soon).Ħ. DISCLAIMER 3: As you will note, the AI advancements in my list refer mostly to the visual medium (image generating and modification). What you see here are DL/ML stories impressed me within the last 1–2 years. Some of them are already well covered by authors of Toward Data Science. DISCLAIMER 2: This is a wild mix of models, networks, implementations, and experiments. So in case, I missed some crucial discussions here on the topics below, feel free to complement this article with referring links. Here are developments which brought me to a delighted astonishment in a no particular order.ĭISCLAIMER 1: I’m new to Towards Data Science. A picture is worth a thousand words.Īnd I have a feeling, 2019 was way intense than years before. Even if it’s about a specific topic: Generative Adversarial Networks progress, this development shows pretty well what has happened - and what will come.
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