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Jun-Yan Zhu Assistant Professor School of Computer Science Carnegie Mellon University Email: junyanz at cs dot cmu dot edu I am an Assistant Professor with The Robotics Institute in the School of Computer Science of Carnegie Mellon University. I also hold affiliated faculty appointments in the Computer Science Department and Machine Learning Department. I study computer vision, graphics, computati
Abstract Realistic image manipulation is challenging because it requires modifying the image appearance in a user-controlled way, while preserving the realism of the result. Unless the user has considerable artistic skill, it is easy to "fall off" the manifold of natural images while editing. In this paper, we propose to learn the natural image manifold directly from data using a generative advers
As reported by Cisco, 90% of net traffic will be visual, and indeed, most of the visual data are cat photos and videos. Thus, understanding, modeling, and synthesizing our feline friends becomes a more and more critical research problem these days, especially for our cat lovers. Cat Paper Collection is an academic paper collection that includes computer graphics, computer vision, and machine learn
AverageExplorer: Interactive Exploration and Alignment of Visual Data Collections Abstract This paper proposes an interactive framework that allows a user to rapidly explore and visualize a large image collection using the medium of average images. Average images have been gaining popularity as means of artistic expression and data visualization, but the creation of compelling examples is a surpri
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