The 'deepfake-style face swap app' ZAO has climbed to the top of Android and iPhone download charts in recent weeks. As its popularity grew, so have privacy concerns on Chinese social media, and now, beyond. Best application of 'Deepfake'-style AI facial replacement I've ever seen. Here's an example of me as DiCaprio generated in under 8 secs from that one photo in the thumbnail?

The app — developed by Momo, the same company behind popular Chinese dating app Tantan — became an overnight sensation after it began circulating on Friday evening. Hashtags related to the app quickly became some of the hottest on microblogging site Weibo, while the app rocketed up the iOS download charts. Chinese social media feeds quickly became filled with ZAO-produced videos from friends and contacts for many users. The premise of the app is pretty simple: take a selfie and put yourself into your favorite movie or soap opera chosen from a pre-selected list of clips.

Yet the initial buzz around the app quickly gave way to headlines about privacy concerns as reporters from several major tech publications in China actually bothered to read the 6, character user agreement required to download ZAO. If there is anything you need to do that depends on video being treated as evidence, your remaining time is limited. The fact that this technology is now easily available to everyone is terrifying. In addition to all the misinformation already on the internet, get ready for fake soundbites and deep fake interviews.

I wonder if these ZAO -type experiments can well be beneficial. When DeepFake technology becomes so easily available to everyone, it might goad us all to be a lot more skeptical of "I readily believe my eyes and ears" stance--an anachronism in this age of perceptual AI. It's telling that these days people instantly jump to the worst applications of new tech. This was once science fiction level tech in movies like Running Man and now it's available in a free app anyone can download.

We are exactly 30 seconds away from this tech being used to end a marriage, wreck a career, put someone in prison, or start a war. After having a computer study the speech patterns of an American President famed for his public speaking one naturally has it recite Palpatine?

Alan Watts would be more fun. Amusing yet unsettling and increasingly smooth, the deepfakes keep coming. In the not too distant future Elon Musk will save us […]. The Gimdow turns your dumb door into a smart lock In the age of smart homes, everybody wants to own the house that does everything for itself. Unfortunately, the reality is that creating a smart house usually takes a lot of work.

Been noodling around with a podcast idea for…what, years now? There is no time like right now to work out all the logistics of turning your marinating idea into an actual real, profitable podcast.

It could actually be a profitable enterprise. According […]. Almost all of us enjoy the idea of having some live plants in our homes. Unfortunately, some of us who would like to think we have a green thumb really only have hands of death when it comes to our unsuspecting flora friends.

And the number 1 killer of innocent house plants? Oh, and […]. Read the rules you agree to by using this website in our Terms of Service.

New, Creepy Porn App Lets You Paste Anyone's Face on the Star's Body

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Jason Weisberger Publisher. Ken Snider Sysadmin.The future is here and it's incredibly disturbing. A new technology app now allows users to replace the face of a porn actor in an adult video with pretty much anyone they'd like. The technology was first revealed in December, and now only a few weeks later the internet is filled with porn videos in which celebrities have been superimposed into adult films.

The technology can be traced back to Redditor " deepfakes " and involves a machine learning algorithm that swaps celebrity faces onto porn actresses bodies in adult films. Motherboard first began reporting on deepfakes and his hobby back in Decemberbut since then the concept has gone viral.

Now, the tools needed to create this "homemade" porn videos including your favorite Hollywood actresses and pop stars are readily available and easy to use. This means that even those without a computer science background and limited knowledge of technology can still make the films. All you need to do is download the FakeApp and have one or two high quality videos of actors you'd like to superimpose in order to make a eerily realistic porn video, Motherboard reported. As of yet, the technology seems to be reserved for pornography, and it's not yet refined enough that you can't tell that the video has been altered in some way.

How to EASILY create Deep Fakes w/ DeepFaceLab [English]

However, experts suggest the technology won't stay like this for long. As more and more people try their hand at creating fake porn the technology will continue to advance. That's not going to stay true for more than a year or two," Peter Eckersley, a chief computer scientist for the Electronic Frontier Foundation told Motherboard. It's not hard to imagine how people could start using the technology to create porn with the likenesses of not just celebrities, but anyone they'd like.

In addition, the technology could advance beyond pornography and one day be used to to make famous figures appear to say and do things that they really haven't, NY Magazine reported. That being said, the Reddit users behind the deepfakes subgroup and the technology that is emerging from this dark corner of the web seem to recognize that what they are doing isn't exactly savory. O ne user described the work as "derogatory, vulgar and blindsiding to the women that deepfakes works on," while still claiming the application has purpose beyond making hyper-realistic porn.

Weekly magazine, delivered Daily Newsletter Website access.Deepfakes a portmanteau of " deep learning " and "fake" [1] are synthetic media [2] in which a person in an existing image or video is replaced with someone else's likeness.

While the act of faking content is a not new, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content with a high potential to deceive. Deepfakes have garnered widespread attention for their uses in celebrity pornographic videosrevenge pornfake newshoaxesand financial fraud.

Photo manipulation was developed in the 19th century and soon applied to motion pictures. Technology steadily improved during the 20th century, and more quickly with digital video. Deepfake technology has been developed by researchers at academic institutions beginning in the s, and later by amateurs in online communities. Academic research related to deepfakes lies predominantly within the field of computer visiona subfield of computer science.

Contemporary academic projects have focused on creating more realistic videos and on improving techniques. In Augustresearchers at the University of California, Berkeley published a paper introducing a fake dancing app that can create the impression of masterful dancing ability using AI.

The term deepfakes originated around the end of from a Reddit user named "deepfakes". In Januarya proprietary desktop application called FakeApp was launched. Larger companies are also starting to use deepfakes. Audio deepfakes, and AI software capable of detecting deepfakes and cloning human voices after 5 seconds of listening time also exist.

Mobile deepfakes, a mobile deepfake app, Impressionswas launched in March of It was the first app for the creation of celebrity deepfake videos from mobile phones. Deepfakes rely on a type of neural network called an autoencoder. Deepfakes utilize this architecture by having a universal encoder which encodes a person in to the latent space.

This can then be decoded with a model trained specifically for the target. A popular upgrade to this architecture attaches a generative adversarial network to the decoder. Many deepfakes on the internet feature pornography of people, often female celebrities whose likeness is typically used without their consent. In Junea downloadable Windows and Linux application called DeepNude was released which used neural networks, specifically generative adversarial networksto remove clothing from images of women.

Deepfakes have been used to misrepresent well-known politicians in videos. In Junethe United States House Intelligence Committee held hearings on the potential malicious use of deepfakes to sway elections. During the Delhi Legislative Assembly election campaign, the Delhi Bharatiya Janata Party used similar technology to distribute a version of an English-language campaign advertisement by its leader, Manoj Tiwaritranslated into Haryanvi to target Haryana voters.

A voiceover was provided by an actor, and AI trained using video of Tiwari speeches was used to lip-sync the video to the new voiceover. A party staff member described it as a "positive" use of deepfake technology, which allowed them to "convincingly approach the target audience even if the candidate didn't speak the language of the voter.

In March the multidisciplinary artist Joseph Ayerle published the videoartwork Un'emozione per sempre 2.All OSes.

MyFakeApp – FakeApp alternative

All licences. Software Free Download Soft You can skip this in seconds Click here to continue. Download Now! FakeApp 2. This will download from the developer's website. FakeApp is a desktop app that allows users to easily create photorealistic faceswap videos using deep learning. Last update 5 Feb. Users rating: ratings. FakeApp is a desktop app that allows users to easily create photorealistic faceswap videos.

fakeapp 2019

FakeApp swaps a face by training a neural networks to emulate it with a facial dataset, and using that network to transform faces in existing video into the face it has learned. It is based on open source deep learning algorithms and makes use of the popular deep learning libraries Pytorch and Tensorflow. If you need help or have a question, contact us Would you like to update this product info? Is there any feedback you would like to provide? Click here. Popular Downloads Macromedia Flash 8 8.

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Learn more about blocking users. Learn more about reporting abuse. Deepfakes Software For All. Python 30k 9. User dedicated repo for the faceswap project. Tweaking the generative model. Python 7 Seeing something unexpected? Take a look at the GitHub profile guide. Skip to content. Dismiss Create your own GitHub profile Sign up for your own profile on GitHub, the best place to host code, manage projects, and build software alongside 40 million developers.

Sign up. Block or report user Report or block deepfakes. Hide content and notifications from this user. Learn more about blocking users Block user. Learn more about reporting abuse Report abuse. Overview Repositories 4 Projects 0 Stars 1 Followers 2. Popular repositories faceswap. Learn how we count contributions. Less More. January - April deepfakes has no activity yet for this period. You signed in with another tab or window.

Reload to refresh your session. You signed out in another tab or window.This application can change faces in videos. This article is about my version of FakeApp from DeepFakes. It is running on standalone version of Python WinPython.

FaceApp Pro 3.5.10 Full Apk + MOD (Unlocked) for Android

The rest is implemented in C using WPF application. This app should be standalone and the only thing you need to install is CUDA 9. Note: The first build will take a long time, because it is extracting FaceSwap application from zip. View all posts by radeksissues. How do I use this on a laptop with Intel hd graphics? Like Like.

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Guys if anyone had successfully conversion with an AMD cpu or gpu. It need instruction. IDK what all these buttons do. Extract frames? Faces, train… Idk what to do. When i export the Video its only black, but the file is a little bit bigger then the processed video. Anyone knows what i am doing wrong? Like Liked by 1 person. Hi, is there any way to make this work with newer versions of Cuda?

Older versions of Cuda are no longer available, I have Cuda Hi, I got an error. Kiss you All! You are commenting using your WordPress. You are commenting using your Google account.

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You are commenting using your Twitter account. You are commenting using your Facebook account. Notify me of new comments via email. Notify me of new posts via email.Deepfakesapp is available online on our website. You do not need to install anything on your computer or mobile device. You always use the latest version of app. Modern design of the online application. Tool optimized for computers and mobile phones.

fakeapp 2019

Just 7 steps to get your edited video. See our tutorial: How to use tool.

fakeapp 2019

The application is free. But on the site there is advertising. You do not need to download anything to your computer or mobile phone. Our online application works through the website. Tool is optimized for computers and mobile phones. Deepfakes or DF, a portmanteau of "deep learning or DL" and "fake", is an artificial intelligence-based human image synthesis technique.

It is used to combine and superimpose existing images and videos onto source images or videos. Makes video using our app. DFs may be used to create fake celebrity pornographic videos or revenge porn. DF pornography surfaced on the Internet inparticularly on Reddit, and has been banned by sites including Reddit, Twitter, and Pornhub. DFs can be used to create fake news and malicious hoaxes.

Non-pornographic DFs can be easily found on popular online video streaming sites such as Youtube or Vimeo. Techniques to faking facial gestures and rendering onto the target video as look-alike of the target person were presented in and allow near real-time counterfeiting of facial expressions in existing 2D video. DL also known as d-p structured learning or hierarchical learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms.

Learning can be supervised, semi-supervised or unsupervised. DL models are loosely related to information processing and communication patterns in a biological nervous system, such as neural coding that attempts to define a relationship between various stimuli and associated neuronal responses in the brain.

DL architectures such as d-p neural networks, d-p belief networks and recurrent neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics and drug design, where they have produced results comparable to and in some cases superior to human experts.

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You have been granted premium access. Sign in. Website for creating deepfake videos made with learning. No need to download! Easy to use! The best online application for changing faces in video - website deepfakesapp.