In this talk, the speaker will present several research projects at VinAI that advance the field of image generation and manipulation. The speaker focuses on two mainstream generative technologies, GANs and Diffusion Models. For GANs, he discusses how to improve the models regarding utility, coverage, and output consistency. For Diffusion Models, he discusses how to improve the models’ speed to approach real-time performance. He also presents how to prevent the negative social impact of diffusion-based personalized text-to-image generation
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Anh Tran is an AI Research Scientist in VinAI Research. Before that, he was a Software Developer Engineer and an Applied Scientist at Amazon AWS Rekognition. He took a PhD degree from Computer Science Department of University of Southern California, under the support of the Vietnam Education Foundation funded by the U.S. government. His advisor was Prof. Gerard Medioni. Previously, he received a BSc in Computer Science from Hanoi University of Science and Technology. He received the first prizes in Vietnam Talent Award 2010 and Imagine Cup Vietnam 2009. His research interest is Computer Vision. He has about 20 papers accepted to top conferences in Computer Vision and Machine Learning. He also served as an Area Chair at ICCV 2021, CVPR 2022, ECCV 2022, and CVPR 2023
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