2nd GenAI Media Generation Challenge Workshop @ CVPR2025

Björn Ommer Dr. Björn Ommer is a full professor at LMU where he heads the Computer Vision & Learning Group (previously Computer Vision Group Heidelberg). Before he was a full professor at the Department of Mathematics and Computer Science of Heidelberg University and also served as a one of the directors of the Interdisciplinary Center for Scientific Computing (IWR) and of the Heidelberg Collaboratory for Image Processing (HCI). He has served as program chair for GCPR, as Senior Area Chair and Area Chair for multiple CVPR, ICCV, ECCV, and NeurIPS conferences, and as workshop and tutorial organizer at these venues.

Jun-Yan Zhu Dr. Jun-Yan Zhu is an Assistant Professor with The Robotics Institute in the School of Computer Science of Carnegie Mellon University. He also holds affiliated faculty appointments in the Computer Science Department and Machine Learning Department. He studies computer graphics, computer vision, and computational photography. Prior to joining CMU, he was a Research Scientist at Adobe Research. He did a postdoc at MIT CSAIL, working with William T. Freeman, Josh Tenenbaum, and Antonio Torralba. He obtained my Ph.D. from UC Berkeley, under the supervision of Alexei A. Efros. He received his B.E. from Tsinghua University, working with Zhuowen Tu, Shi-Min Hu, and Eric Chang.

Sergey Tulyakov Dr. Sergey Tulyakov is a Principal Research Scientist heading the Creative Vision team at Snap Research. His work focuses on creating methods for manipulating the world via computer vision and machine learning. This includes 2D and 3D methods for photorealistic object manipulation and animation, video synthesis, prediction and retargeting. His work has been published as 30+ top conference papers, journals and patents resulting in multiple tech transfers, including Snapchat Pet Tracking and Real-time Neural Lenses (gender swap, baby face, real-time try-on and many others).

Saining Xie Dr. Saining Xie is an Assistant Professor of Computer Science at NYU Courant and part of the CILVR group. He is also affiliated with NYU Center for Data Science. Before that I was a research scientist at Facebook AI Research (FAIR), Menlo Park. He received my Ph.D. and M.S. degrees from CSE Department at UC San Diego, advised by Zhuowen Tu. During his PhD study, he also interned at NEC Labs, Adobe, Facebook, Google, DeepMind. Prior to that, he obtained his bachelor degree from Shanghai Jiao Tong University. His primary areas of interest in research are computer vision and machine learning.