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 2021 - Course on the Advances in Neural Rendering

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.

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