Nettet15. des. 2024 · However, most of them fail to meet the identity preservation problem, or perform poorly in terms of photo-realism, especially in extreme head poses. We propose HeadGAN, a novel reenactment approach that conditions synthesis on 3D face representations, which can be extracted from any driving video and adapted to the … NettetMoustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 6878-6887 Abstract
CVPR 2024 Open Access Repository
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NettetMoustafa Meshry, Yixuan Ren, Larry S. Davis, Abhinav Shrivastava; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 3712-3721 Abstract We propose a novel approach for … Nettet8. apr. 2024 · Prof. Dr. Christian Theobalt. Director - Visual Computing and AI Department at MPI for Informatics. Professor of Computer Science - Saarland University. Director - Saarbruecken Center for Visual Computing, Interacton and Artificial Intelligence. Mailing Address: Nettet23. des. 2024 · We propose a recurrent variational auto-encoder for texture synthesis. A novel loss function, FLTBNK, is used for training the texture synthesizer. It is rotational and partially color invariant loss function. Unlike L2 loss, FLTBNK explicitly models the correlation of color intensity between pixels. tapal search eoffice