I am a PhD Candidate and Researcher at CTU in Prague supervised by prof. Daniel Sýkora. I received my BSc and MSc degrees from Computer Science at the same university. My primary research interest lies in computer graphics, image processing, computer vision, and deep learning; I specialize in generating realistically looking images according to certain conditions or examples. In recent years, I worked with Adobe Research on several publications and research-engineering projects, and I was granted the opportunity to join them as a research intern in San Jose, California (2017) and then in Seattle, Washington (2018). After that, I joined Snap Inc. as a research intern in Santa Monica, Los Angeles, California (2019). For 2020, I joined Samsung Research America, and I am part of the NEON team.
O. Texler, J. Fišer, M. Lukáč, J. Lu, E. Shechtman, and D. Sýkora
In Proceedings of the 8th ACM/EG Expressive Symposium, pp. 43-50 (Expressive 2019, Genoa, Italy, May 2019)
Computer Graphics, Faculty of Electrical Engineering, Czech Technical University in Prague. Dissertation Thesis: Example-based Style Transfer.
Computer Science, Faculty of Information Technology, Czech Technical University in Prague. Master Thesis: Digital Image Processing and Image Stylization.
Computer Science, Faculty of Information Technology, Czech Technical University in Prague. Bachelor Thesis: Architecture design and implementation of a large software system.
Mathematics, Physics, and Descriptive Geometry specialization, Gymnasium of Christian Doppler.
Research & Development. Research on image-to-image and video-to-video translation neural networks. Part of the Neon.life team.
Research & Development. Research of new techniques on training generative adversarial networks for style transfer tasks; focused on a scenario where a minimal amount of data is available, and an interactive response is required. Furthermore, developing a shader-based real-time stylization for human portraits.
Research & Development. Remote collaboration on several research projects, publications, and tech transfer project. Computer graphics; patch-based style transfer; neural-network-based style transfer.
Research & Development. Combining neural-network-based and patch-based style transfer methods. Chunk-based style transfer method with focus on a real-time performance.
Research & Development. Guiding patch-based style transfer method using convolutional neural networks, image harmonization, and histogram optimization. Integrating developed style transfer method into Adobe Photoshop.
Software Architecture & Development. The navigation application for smartphones, tablets, and PND devices. C++, Java (Android), JavaEE, Objective-C (iOS), C#.
Software & Database Development. The World of Warcraft game server. Extending game mechanics, scripting artificial intelligence, data-mining. C++, C#.