Deep Learning for Visual Computing (Computer Vision, Machine Learning, Graphics)

The internship will be in the area of visual computing (computer vision, machine learning, computer graphics). The exact topic depends on the student's interest, student's background, and current research topics in the group. Many projects in the group deal with generative modeling and 3D reconstruction. For example, adversarial networks for synthesizing images, textures, point clouds, and 3D geometry; Generative diffusion models for synthesizing images, 3D, and animations; depth from a single image; image segmentation; primitive fitting; indoor room layout reconstruction; domain adaptation; few shot learning;​

There are no pre-determined deliverables. The goal is to learn more about the research process and to work towards a high-quality publication. Students will be involved in reading literature, discussing ideas, and implementation.