This content originally appeared on DEV Community and was authored by Jimmy Guerrero
Recently, diffusion-based generative AI models have gained popularity due to their wide applications in the image domain. Additionally, there is growing attention to the video domain because of its ubiquitous presence in real-world applications. In this talk, we will discuss the future of GenAI in the video domain, highlighting recent advancements and exploring its potential and impact on video editing and generation. We will also examine the challenges and opportunities these technologies present, offering insights into how they can revolutionize the video industry.
About the Speaker
Ozgur Kara is a PhD student in the Computer Science Department at the University of Illinois at Urbana-Champaign. He earned his Bachelor’s degree in Electrical and Electronics Engineering from Boğaziçi University. His research focuses on generative AI and computer vision, particularly on generative AI and its applications in video.
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Recorded on Aug 8, 2024 at the AI, Machine Learning and Computer Vision Meetup.
This content originally appeared on DEV Community and was authored by Jimmy Guerrero
Jimmy Guerrero | Sciencx (2024-08-09T14:35:49+00:00) Computer Vision Meetup: GenAI for Video – Diffusion-Based Editing and Generation. Retrieved from https://www.scien.cx/2024/08/09/computer-vision-meetup-genai-for-video-diffusion-based-editing-and-generation/
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