Hentai Mona Lisa
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Hentai Mona Lisa
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This Mona Hentai story covered How 37 Monsters (RAPED) 13-year-old Mona.
Mona got up and walk over to me, wrap her arm around my neck, and kissed me. Her kiss with her juicy lip I can’t resist. Especially her tongue licking my dick and lip that feels nice and soft. Mona pulled me to the bed and lay me down. Jean starts working on it. Mona takes every drop of his cum and swallowed it. Before Mona knee it I had my hand on his chest he looked at me and I kissed him. Before Mona’s knee it she was on my knees his pants around his ankles his hard cock in her mouth. Mona sucked his cock. Looking up at him. He smiled removing his singlet. Her parents knew his parents quite well. Now the lights were off I slowly touched her boobs this time with her fingers Mona smiled Mona was wearing a low-cut jacket her cleavage visible to her Mona touched her jacket this time her hand touched her cleavage. Mona turned to my side her navel was visible. Mona became bold and this time Mona moved my hand on her vagina and very softly fondling her vagina, and slowly I pulled her vagina hair, Mona was enjoying it, as soon as the station came I got down. he missed her to ask phone number because her husband was with her. After the next day, a married woman was sitting in the last seat, I went near to her, he was standing close to her shoulder, I knew her husband did not come with her, slowly I touched his penis on her shoulder and Mona didn’t resist me, I became bold and I was rubbing my penis on the shoulder for 10 minutes and I released his sperm. His pant became full of juice. Still, I didn’t get any chance by God Grace, if I get a chance he won’t leave he will grab her, and I will lick her whole body.
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Last supermoon of the year — the 'Sturgeon moon' rises tonight (Aug. 11)
'Gigantic jet' that shot into space may be the most powerful lightning bolt ever dete...
Not just tiny arms: T. rex also had super small eyes to accommodate its big bite
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By
Mindy Weisberger
published May 27, 2019
The enigmatic, painted smile of the "Mona Lisa" is known around the world, but that famous face recently displayed a startling new range of expressions, courtesy of artificial intelligence (AI).
In a video shared to YouTube on May 21, three video clips show disconcerting examples of the Mona Lisa as she moves her lips and turns her head. She was created by a convolutional neural network — a type of AI that processes information much as a human brain does, to analyze and process images.
Researchers trained the algorithm to understand facial features' general shapes and how they behave relative to each other, and then to apply that information to still images. The result was a realistic video sequence of new facial expressions from a single frame. [ Can Machines Be Creative? Meet 9 AI 'Artists' ]
For the Mona Lisa videos, the AI "learned" facial movement from datasets of three human subjects, producing three very different animations. While each of the three clips was still recognizable as the Mona Lisa, variations in the training models' looks and behavior lent distinct "personalities" to the "living portraits," Egor Zakharov, an engineer with the Skolkovo Institute of Science and Technology, and the Samsung AI Center (both located in Moscow), explained in the video.
Zakharov and his colleagues also generated animations from photos of 20th-century cultural icons such as Albert Einstein , Marilyn Monroe and Salvador Dali. The researchers described their findings, which were not peer-reviewed, in a study published online May 20 in the preprint journal arXiv .
Producing original videos such as these, known as deepfakes, isn't easy. Human heads are geometrically complex and highly dynamic; 3D models of heads have "tens of millions of parameters," the study authors wrote.
What's more, the human vision system is very good at identifying "even minor mistakes" in 3D-modeled human heads, according to the study. Seeing something that looks almost human — but not quite — triggers a sensation of profound unease known as the uncanny valley effect .
AI has previously demonstrated that producing convincing deepfakes is possible, but it required multiple angles of the desired subject. For the new study, the engineers introduced the AI to a very large dataset of reference videos showing human faces in action . The scientists established facial landmarks that would apply to any face, to teach the neural network how faces behave in general.
Then, they trained the AI to use the reference expressions to map movement of the source's features. This enabled the AI to create a deepfake even when it had just one image to work from, the researchers reported.
And more source images delivered an even more detailed result in the final animation. Videos created from 32 images, rather than just one, achieved "perfect realism" in a user study, the scientists wrote.
Originally published on Live Science .
Mindy Weisberger is a Live Science senior writer covering a general beat that includes climate change, paleontology, weird animal behavior, and space. Mindy holds an M.F.A. in Film from Columbia University; prior to Live Science she produced, wrote and directed media for the American Museum of Natural History in New York City. Her videos about dinosaurs, astrophysics, biodiversity and evolution appear in museums and science centers worldwide, earning awards such as the CINE Golden Eagle and the Communicator Award of Excellence. Her writing has also appeared in Scientific American, The Washington Post and How It Works Magazine.
Nicoletta Lanese about 23 hours ago
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Live Science is part of Future US Inc, an international media group and leading digital publisher. Visit our corporate site (opens in new tab) .
©
Future US, Inc. Full 7th Floor, 130 West 42nd Street,
New York,
NY 10036.
(opens in new tab)
(opens in new tab)
(opens in new tab)
(opens in new tab)
Mindy Weisberger
(opens in new tab)
Senior Writer
Last supermoon of the year — the 'Sturgeon moon' rises tonight (Aug. 11)
'Gigantic jet' that shot into space may be the most powerful lightning bolt ever dete...
Not just tiny arms: T. rex also had super small eyes to accommodate its big bite
Contact me with news and offers from other Future brands
Receive email from us on behalf of our trusted partners or sponsors
The ultimate action-packed science and technology magazine bursting with exciting information about the universe
More stories to check out before you go
Live Science is supported by its audience. When you purchase through links on our site, we may earn an affiliate commission. Here’s why you can trust us .
By
Mindy Weisberger
published May 27, 2019
The enigmatic, painted smile of the "Mona Lisa" is known around the world, but that famous face recently displayed a startling new range of expressions, courtesy of artificial intelligence (AI).
In a video shared to YouTube on May 21, three video clips show disconcerting examples of the Mona Lisa as she moves her lips and turns her head. She was created by a convolutional neural network — a type of AI that processes information much as a human brain does, to analyze and process images.
Researchers trained the algorithm to understand facial features' general shapes and how they behave relative to each other, and then to apply that information to still images. The result was a realistic video sequence of new facial expressions from a single frame. [ Can Machines Be Creative? Meet 9 AI 'Artists' ]
For the Mona Lisa videos, the AI "learned" facial movement from datasets of three human subjects, producing three very different animations. While each of the three clips was still recognizable as the Mona Lisa, variations in the training models' looks and behavior lent distinct "personalities" to the "living portraits," Egor Zakharov, an engineer with the Skolkovo Institute of Science and Technology, and the Samsung AI Center (both located in Moscow), explained in the video.
Zakharov and his colleagues also generated animations from photos of 20th-century cultural icons such as Albert Einstein , Marilyn Monroe and Salvador Dali. The researchers described their findings, which were not peer-reviewed, in a study published online May 20 in the preprint journal arXiv .
Producing original videos such as these, known as deepfakes, isn't easy. Human heads are geometrically complex and highly dynamic; 3D models of heads have "tens of millions of parameters," the study authors wrote.
What's more, the human vision system is very good at identifying "even minor mistakes" in 3D-modeled human heads, according to the study. Seeing something that looks almost human — but not quite — triggers a sensation of profound unease known as the uncanny valley effect .
AI has previously demonstrated that producing convincing deepfakes is possible, but it required multiple angles of the desired subject. For the new study, the engineers introduced the AI to a very large dataset of reference videos showing human faces in action . The scientists established facial landmarks that would apply to any face, to teach the neural network how faces behave in general.
Then, they trained the AI to use the reference expressions to map movement of the source's features. This enabled the AI to create a deepfake even when it had just one image to work from, the researchers reported.
And more source images delivered an even more detailed result in the final animation. Videos created from 32 images, rather than just one, achieved "perfect realism" in a user study, the scientists wrote.
Originally published on Live Science .
Mindy Weisberger is a Live Science senior writer covering a general beat that includes climate change, paleontology, weird animal behavior, and space. Mindy holds an M.F.A. in Film from Columbia University; prior to Live Science she produced, wrote and directed media for the American Museum of Natural History in New York City. Her videos about dinosaurs, astrophysics, biodiversity and evolution appear in museums and science centers worldwide, earning awards such as the CINE Golden Eagle and the Communicator Award of Excellence. Her writing has also appeared in Scientific American, The Washington Post and How It Works Magazine.
Nicoletta Lanese about 23 hours ago
Stay up to date on the latest science news by signing up for our Essentials newsletter.
Thank you for signing up to Live Science. You will receive a verification email shortly.
There was a problem. Please refresh the page and try again.
Live Science is part of Future US Inc, an international media group and leading digital publisher. Visit our corporate site (opens in new tab) .
©
Future US, Inc. Full 7th Floor, 130 West 42nd Street,
New York,
NY 10036.
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Mona Reward is a new work by the famous Pixiv artist JXH33 or Jinxel World, which was released based on the game Genshin Impact in May 2021. The author admitted that this work took him about two months. The main character of the hentai girl is a sorceress-astrologer Mona Megistus, who is quite erudite and incredibly proud. However, this did not prevent her from becoming an excellent member sucker. In this video, sexy Mona will show you her best blowjob, and then her best sex in life...
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Mona Reward is a new work by the famous Pixiv artist JXH33 or Jinxel World, which was released based on the game Genshin Impact in May 2021. The author admitted that this work took him about two months. The main character of the hentai girl is a sorceress-astrologer Mona Megistus, who is quite erudite and incredibly proud. However, this did not prevent her from becoming an excellent member sucker. In this video, sexy Mona will show you her best blowjob, and then her best sex in life… Genshin impact hentai
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