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Dear Fellow Scholars, this is Two Minute Papers with Kroly Zsolnai-Fehr. In computer graphics, when we are talking about portrait relighting, we mean a technique that is able to look at an image and change the lighting, and maybe even the materials or geometry after this image has been taken. This is a very challenging endeavor. So can neural networks put a dent into this problem and give us something new and better? You bet! The examples that you see here are done with this new work that uses a learning-based technique, and is able to change the lighting for human portraits, and only requires one input image. You see, normally, using methods in computer graphics to relight these images would require trying to find out what the geometry of the face, materials, and lighting is from the image, and then, we can change the lighting or other parameters, run a light simulation program, and hope that the estimations are good enough to make it realistic. However, if we wish to use neural net
