Share Your Science: Real-Time Facial Reenactment of YouTube Videos

Features, Research, CUDA, Facial Recognition, GeForce, Machine Learning & Artificial Intelligence, Media & Entertainment, Share Your Science

Nadeem Mohammad, posted Apr 06 2016

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

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NVIDIA Announcements at the 2016 GPU Technology Conference

Features, News, Automotive, CUDA, Development Tools & Libraries, GTC, Image Processing, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Apr 06 2016

If you missed the opening keynote by NVIDIA CEO Jen-Hsun Huang, here’s a recap of today’s announcements at the GPU Technology Conference in Silicon Valley. In the video, NVIDIA VP Greg Estes covers the new NVIDIA SDK, Iray VR, Pascal-based Tesla P100 GPU, DGX-1 deep learning supercomputer in a box, and DriveWorks platform for self-driving

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Share Your Science: GPU-Accelerated 3D Oil Painting Simulation

Research, Computational Fluid Dynamics (CFD), CUDA, GeForce, GTC, Media & Entertainment, Share Your Science

Nadeem Mohammad, posted Apr 06 2016

Zhili Chen, a 3D Graphics Researcher from Adobe Research, shares how they are using TITAN X GPUs and CUDA to create a real-time painting system that simulates the interactions between brush, paint, and canvas at the bristle level. He describes how artists can use the system to draw realistic and vivid digital paintings, by applying

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Share Your Science: Pushing the Limits of Computational Photography

News, Research, Algorithms & Numerical Techniques, Computational Photography, GTC, Machine Learning & Artificial Intelligence, Share Your Science

Nadeem Mohammad, posted Apr 05 2016

Daniel Ambrosi, Artist and Photographer, is using NVIDIA GPUs in the Amazon cloud and CUDA to create giant 2D-stitched HDR panoramas called “Dreamscapes.” Ambrosi applies a modified version of Google’s DeepDream neural net visualization code to his original panoramic landscape images to create truly one-of-a-kind pieces of art. For more information visit http://www.danielambrosi.com/Dreamscapes. Share your

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Share Your Science: Artificial Intelligent Robot for Children

News, GTC, Internet / Communications, Machine Learning & Artificial Intelligence, Robotics, Share Your Science, Tesla

Nadeem Mohammad, posted Apr 05 2016

Yi-Jian Wu, Founder & CEO of Yuanqu Tech in China, talks about how NVIDIA Tesla GPUs are being used to train their interactive educational robot for children. Call the robot’s name and the speech-controlled robot is able to tell jokes, answer educational questions, teach English and act as a patient tutor for a child.  For

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