ACM Transactions on Graphics (Proc. SIGGRAPH 2017) http://research.nvidia.com/publication/2017-07_Audio-Driven-Facial-Animation Tero Karras (NVIDIA) Timo Aila (NVIDIA) Samuli Laine (NVIDIA) Antti Herva (Remedy Entertainment) Jaakko Lehtinen (NVIDIA and Aalto University) We present a machine learning technique for driving 3D facial animation by audio input in real time and with low latency. Our
再生中 Using NVIDIA® OptiX™ for Lighting Preview in a Katana-Based Production Pipeline Having moved our film lighting pipeline to a ray traced, physically based illumination model, this presentation will demonstrate the viability and advantages of using OptiX along with NVIDIA GPUs to obtain interactive lighting feedback on real production shots and assets.
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