Seminararbeit Fast Neural Network Emulation and Control of Physics-Based Models
نویسنده
چکیده
Die vorliegende Arbeit entstand im Rahmen des Seminars Aktuelle Themen der graphischen Datenverarbeitung der Computer Graphics Research Group an der ETH Zürich. Thema der Seminararbeit ist das Paper NeuroAnimator: Fast Neural Network Emulation and Control of Physics-Based Models [1] von Radek Grzeszczuk. Darin wird ein Verfahren vorgestellt, um Animationen von physikbasierten Modellen zu erzeugen. Das Verfahren, welches künstliche neuronale Netzwerke einsetzt, hat gegenüber dem klassischen Ansatz mittels Integration den Vorteil, numerisch um Grössenordnungen e zienter zu sein und trotzdem qualitativ gleichwertige Animationen zu erzeugen.
منابع مشابه
Fast Neural Network Emulation and Control of Physics-Based Models
Animation through the numerical simulation of physicsbased graphics models offers unsurpassed realism, but it can be computationally demanding. Likewise, the search for controllers that enable physics-based models to produce desired animations usually entails formidable computational cost. This paper demonstrates the possibility of replacing the numerical simulation and control of dynamic model...
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