Media
World’s First Real-Time 3D Oil Painting Simulator

World’s First Real-Time 3D Oil Painting Simulator
The painting and drawing tools most people use are 2D, but now a new project gives artists the ability to choose any brush they like, a limitless array of paint colors, and use the same natural twists and turns of the brush to create the rich textures of oil painting, all on a digital canvas.
Delivering such a realistic, physically-based painting tool requires some heavy-duty computational power, so Adobe Research collaborated with NVIDIA to create the world’s first real-time simulation-based 3D painting system with bristle-level interactions entirely with CUDA. Adobe Researchers Zhili Chen and Byungmoon Kim originally developed Project Wetbrush in 2015, but and have collaborated with NVIDIA software experts to optimize their application performance, allowing them to add even more GPU-accelerated features to the system.
This is just the beginning for the project. Using deep learning, some of the most computationally challenging physical simulations could potentially be added to create more responsive and realistic brush dynamics, or the system could even learn from itself.
Adobe Adds ‘Shazam for Fonts’ Tool to Photoshop
Designers have thousands of fonts to choose from, but what do you when you see the perfect font on a building or on a flyer you found on the street? Photoshop is using artificial intelligence to help designers identify typefaces that they have seen elsewhere.
Revealed last year by Adobe researchers, DeepFont uses NVIDIA GPUs and deep learning to look at the curves and other characteristics of fonts used in the captured image and then compares it to a database of nearly 20,000 fonts to find similar fonts.
“My research background is in image recognition and artificial intelligence techniques like machine learning and deep learning,” said Hailin Jin, a principal scientist in Adobe Research, and creator of DeepFont. “I wondered — can we apply the power of machine learning with the font manual to make a useful tool for designers?”
The tool will be available to users with a Creative Cloud subscription.
Share Your Science: Real-Time Facial Reenactment of YouTube Videos
Matthias Niessner of Stanford University shares how his team of researchers are using TITAN X GPUs and CUDA to manipulate YouTube videos with real-time facial reenactment that works with any commodity webcam.
The project called ‘Face2Face’ captures the facial expressions of both the source and target video using a dense photometric consistency measure. Reenactment is then achieved by fast and efficient deformation transfer between source and target. The mouth interior that best matches the re-targeted expression is retrieved from the target sequence and warped to produce an accurate fit. Finally, their approach re-renders the synthesized target face on top of the corresponding video stream that seamlessly blends with the real-world illumination.
For more details, read the research paper ‘Face2Face: Real-time Face Capture and Reenactment of RGB Videos’.
Share your GPU-accelerated science with us at http://nvda.ly/Vpjxr and with the world on #ShareYourScience.
Watch more scientists and researchers share how accelerated computing is benefiting their work at http://nvda.ly/X7WpH
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Resume Full name Sayed Ahmadreza Razian Nationality Iran Age 36 (Sep 1982) Website ahmadrezarazian.ir Email ...
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معرفی نام و نام خانوادگی سید احمدرضا رضیان محل اقامت ایران - اصفهان سن 33 (متولد 1361) پست الکترونیکی ahmadrezarazian@gmail.com درجات علمی...
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