How we made a face swap of James Bond with Eisko AI Face Replacement?
Have you ever wondered what it would be like if Sean Connery was replaced by Jean Dujardin in the classic James Bond film Dr. No? Thanks to Eisko’s AI Face Replacement technology, we were able to make it a reality.
We’ll take you behind the scenes of this project and show you how we were able to create a seamless face replacement using our proprietary deep learning tools.
What is Eisko AI Face Replacement?
Eisko A.I. Face Replacement is a proprietary deep learning technology developed by Eisko that goes beyond traditional deepfakes. It allows for a groundbreaking resolution of 1024×1024 and uses an enhanced model training method to create state-of-the-art face swapping for the film and video game industry.
Our machine learning team has developed a protocol for face capture in our scanning system to preserve the exact expressiveness and performance of the person being reproduced.
With Eisko’s AI Face Replacement, it’s possible to create high-quality animated faces or final composited videos that are ready to use.
Creating the Sean Connery and Jean Dujardin Deepfake
For this project, our team used Eisko’s AI Face Replacement technology to replace Sean Connery’s face with that of Jean Dujardin in the classic James Bond film Dr. No. We started by creating a machine learning training dataset based on existing photos of Sean Connery and Jean Dujardin. This dataset allowed our technology to learn the facial features and expressions of each actor, which was crucial for creating a convincing deepfake.
Once we had the dataset, we used Eisko’s proprietary deep learning tools to create the face replacement. Our technology accurately captures the expressiveness of the person being emulated and is affected by all light, action, and occlusion conditions for seamless compositing. To enhance the realism of the deepfake, we added three layers of compositing: grain uniformity, color balance, and balance of highlights and shadows.
The end result was a high-quality face swap of Jean Dujardin as James Bond that was almost indistinguishable from the original footage. Thanks to Eisko’s A.I. Face Replacement technology, we were able to create a seamless face replacement that captured the exact expressiveness and performance of Jean Dujardin.
The Future of Face Replacement
Eisko’s A.I. Face Replacement technology is not just limited to face swaps in films and video games. It can also be used to create digital doubles for stunts or to revive deceased persons. With the ability to create high-quality animated faces or final composited videos that are ready to use, Eisko’s A.I. Face Replacement technology is a game-changer for the entertainment industry.
Let’s Work Together
Eisko’s A.I. Face Replacement technology is a groundbreaking tool that pushes the limits of traditional deepfakes. With a resolution of 1024×1024 and an enhanced model training method, it allows for high-quality face replacements that accurately capture the expressiveness and performance of the person being emulated.
The Sean Connery/Jean Dujardin deepfake is just the beginning of what’s possible with Eisko’s A.I. Face Replacement technology and we can’t wait to collaborate on your next project.
How face swapping deepfake is changing the film industry forever
The world of movies and TV shows has always been fascinated by the idea of swapping faces. Whether it’s bringing back a deceased actor to life, creating a digital double for stunts, or de-aging an actor to make them look younger, the possibilities are endless.
For years, VFX companies have been using traditional techniques like rotoscoping and 3D modeling to achieve these effects, but the emergence of artificial intelligence and deepfake technologies have changed everything. Face swapping deepfakes are revolutionizing the movie industry with their ability to create realistic and seamless face swaps, and do it all in a fraction of the time it used to take with older VFX techniques.
But with new technologies always come with a whole host of ethical and privacy concerns that we must navigate as a society.
Rotoscoping: the VFX face swapping traditional technique
Before the advent of deepfakes, VFX (Visual Effects) companies employed various techniques to swap faces in movies and TV shows.
One of the most common methods was to use a technique called “rotoscoping.”
Rotoscoping involves manually tracing the subject’s face frame-by-frame in a video, using specialized software such as Adobe After Effects or Maya. Once the face is traced, the VFX artist can apply a new image or face onto the traced area using various compositing techniques, such as keying or tracking.
Another method used by VFX companies was to employ 3D modeling and animation software to create a 3D model of the subject’s face. The VFX artist would then animate the 3D model to match the movements and expressions of the subject in the original footage, and then render the final result with the new face.
Both of these techniques required a lot of time and skill to achieve a convincing result, and were typically used only for major film or TV productions where the budget and timeline allowed for such extensive post-production work.
Deepfake: the machine learning face swapping to rule them all
Face swapping deepfakes use a type of machine learning algorithm called a generative adversarial network (GAN) to swap the face of one person onto another person’s body in a video or image.
Here’s how it works:
- Training Data: The GAN is trained on a dataset of images and videos of both the person whose face will be replaced (the “source”) and the person whose body will be used (the “target”).
- Face Detection: The GAN uses facial recognition algorithms to detect the position and features of the source face in the video or image.
- Face Embeddings: The GAN then generates a “face embedding” for the source face, which is a mathematical representation of the unique features of the face. This is done using a type of neural network called an encoder.
- Body Swapping: The GAN then swaps the source face onto the target body using another neural network called a decoder. This creates a new image or video that shows the target body with the source face.
- Post-Processing: At EISKO, this step is fundamental and is realized by our 3D artist experts. This step includes color correction and smoothing for example.
One of the biggest advantages of deepfakes compared to traditional techniques is the speed and efficiency with which they can be created. Deepfake algorithms can generate realistic-looking videos in a matter of days or hours depending on the target resolution, whereas traditional VFX techniques can take weeks to complete.
Another advantage of deepfakes is the level of realism they can achieve. Deepfake algorithms use machine learning to analyze and replicate the facial features, expressions and movements of the original subject, resulting in a more accurate and seamless face swap. In contrast, traditional VFX techniques can sometimes result in a less convincing or “uncanny valley” effect, where the swapped face looks slightly off or unnatural.
What about ethics and privacy ?
Overall, the proliferation of deepfakes presents a significant challenge for society, as it requires us to rethink our approach to privacy, trust, and truth in the digital age. It also highlights the importance of responsible and ethical use of technology, as well as the need for education and awareness about the risks and implications of deepfakes.
This question has been at the core of EISKO’s vision for over the past 10 years: the protection of digital identity. All those years, EISKO has developed its strategy and is now able to provide models that respect the privacy and security of the digital identity.
Eisko’s AI Face Replacement Technology
At EISKO, our face swapping deepfakes cover a large span of applications. Our deepfake can be used to create digital doubles of actors or performers. This can be useful for creating realistic stunts or action sequences without risking the safety of the actors.
In addition tour face swapping algorithms can be used to bring deceased actors or famous people back to life for a movie or television show. For example, in the film “Rogue One: A Star Wars Story,” the character Grand Moff Tarkin was brought back to life using a combination of motion capture and face swapping techniques.
Deepfake can also be used to digitally manipulate the appearance of actors or performers to make them appear younger, what’s called de-aging. The Marvel Cinematic Universe has used de-aging technology in a number of its movies, including “Captain Marvel” and “Ant-Man and The Wasp.” This technology was used to make actors Samuel L. Jackson and Michael Douglas appear younger in flashback scenes
Those are some of the applications we have been working on. But what makes us stand out from the crowd is our proprietary state-of-the-art deepfake algorithm. This technology can be used for megapixel face swapping deepfake and is unique to EISKO.
Why 3D Virtual Assistant is the Future of Corporate Innovation?
As the world becomes more digital, companies are constantly looking for innovative ways to engage with their customers and streamline their operations. In recent years, the rise of artificial intelligence has led to the development of virtual assistants, which can help businesses automate tasks and improve the customer experience.
However, the latest trend in this field is the emergence of 3D virtual assistants, which offer a more immersive and engaging experience than their text-based counterparts. In this article, we’ll explore why a 3D virtual assistant could be the next big thing in corporate innovation and how it can benefit businesses of all sizes.
What is a 3D Virtual Assistant?
A 3D virtual assistant is a CGI character that uses artificial intelligence to interact with users in a 3D space. Unlike traditional text-based chatbots, an ai-powered virtual assistant can simulate human-like movements and facial expressions, making them more engaging and realistic. They can also be customized to match a company’s brand, creating a more personalized experience for customers. Before, companies were using text-based chatbots, while now they can use their brand ambassadors a way to engage with their fans. Indeed, 3D virtual assistants can be used for a variety of tasks, such as customer service, sales, and marketing.
Why are 3D Chatbots the Next Innovation for Companies
Improved Customer Engagement
According to a survey conducted by Salesforce, 64% of customers expect personalized engagement from companies. 3D virtual assistants can provide this level of personalization by simulating human-like interactions and facial expressions. This can lead to increased customer satisfaction and loyalty, as customers feel more connected to the brand.
3D virtual assistants can automate tasks such as customer support, freeing up employees to focus on higher-level tasks. This can increase efficiency and productivity, leading to cost savings for the business. In addition, 3D virtual assistants can be available 24/7, providing around-the-clock support to customers.
Better Brand Image
By using a 3D virtual assistant, a company can show that they are at the forefront of technological innovation. This can improve their brand image and make them more attractive to younger, tech-savvy consumers. In addition, a well-designed 3D virtual assistant can help a company stand out from their competitors and create a unique brand identity.
As the technology behind 3D virtual assistants continues to improve, they will become even more sophisticated and versatile. By investing in a 3D virtual assistant now, companies can future-proof their operations and stay ahead of the curve.
Why Choose a 3D Virtual Assistant from Eisko?
Eisko is a leading provider of 3D Digital Doubles and offer breathtaking 3d avatar chatbots for businesses of all sizes. Our digital humans are created using 3D scanning technology combined with 3D artists expertise and can be customized to match a company’s brand and tone of voice. Eisko’s 3D virtual assistants are designed to be engaging and lifelike, providing a unique customer experience that sets businesses apart from their competitors. With their extensive experience in the film, gaming and cosmetic industries, Eisko is well-equipped to create 3D virtual assistants that are both emotionally engaging and technically advanced.
In conclusion, 3D virtual assistants are the next big thing in corporate innovation, offering a more immersive and engaging experience than traditional text-based chatbots. By investing in a 3D virtual assistant, companies can improve their customer engagement, increase efficiency, and future-proof their operations. For businesses looking to stay ahead of the curve, an ai virtual assistant from Eisko is the perfect solution.
To go further
- “Virtual Assistants: The Key to Superior Online Customer Service”, Silversea-media, https://silversea-media.com/virtual-assistants-the-key-to-superior-online-customer-service/
- “25+ Top Chatbot Statistics For 2023: Usage, Demographics, Trends”, Startupbonsai, https://startupbonsai.com/chatbot-statistics/
- “The State of the Connected Customer”, Salesforce, https://www.salesforce.com/research/customer-expectations/
- ” Accenture: Lack of personalization, consumer trust cost businesses $756B last year”, Marketingdive, https://www.marketingdive.com/news/accenture-lack-of-personalization-consumer-trust-cost-businesses-756b-la/512693/
- “What Are Customer Expectations, and How Have They Changed?”, Salesforce, https://www.salesforce.com/resources/articles/customer-expectations/?sfdc-redirect=369
What is the best 3D scanning technology for Film Productions? (Photogrammetry vs Photometry)
Best for full body 3D scan: Photogrammetry
More accurate 3D scan of face: Photometry
Which Technology For Which Case?
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