SIGGRAPH 2021: Course on the Advances in Neural Rendering

2021, Aug 08    

Ayush Tewari  Justus Thies  Ohad Fried  Vincent Sitzmann    Kalyan Sunkavalli  Ricardo Martin-Brualla  Tomas Simon  Jason Saragih  Matthias Nießner  Rohit K Pandey  Sean Fanello  Gordon Wetzstein  Jun-Yan Zhu  Christian Theobalt  Maneesh Agrawala  Eli Shechtman  Dan B Goldman  Michael Zollhöfer 

SIGGRAPH

Neural rendering is an emerging class of deep image and video generation approaches that enable control of scene properties such as illumination, camera parameters, pose, geometry, appearance, and semantic structure. It combines machine learning techniques with physical knowledge from computer graphics to obtain controllable and photo-realistic models of scenes. This course covers the advances in neural rendering over the last year. We will first cover the fundamentals of machine learning and computer graphics relevant for neural rendering. Next, we will present state of the art techniques for the many important neural rendering methods for applications such as novel view synthesis, semantic photo manipulation, facial and body reenactment, relighting, free-viewpoint video, and the creation of photo-realistic avatars for virtual and augmented reality telepresence. Finally, we will conclude with a discussion on the ethical implications of this technology and open research problems.

##Tutorial Website ##Video Part 1 ##Video Part 2

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