Overview:
Text-to-video AI is a cutting-edge suite of technologies designed to generate dynamic, temporally coherent videos from textual prompts. This innovation has the potential to significantly impact various industries, including advertising, marketing, filmmaking, and social media, by providing a new medium for creative expression and communication. The report examines the diverse architectures employed in text-to-video AI and explores the competitive landscape among key technology providers, such as Sora, W.A.L.T, Emu, and Stable Diffusion.
Over the past year, there have been rapid breakthroughs in this field, although it is anticipated that it will take at least 2 to 3 more years for text-to-video AI to fully mature. Despite its promising potential, the industry faces several significant challenges, including the need for substantial computational resources, ensuring high-quality output, and addressing ethical concerns. This report delves into these issues, providing a comprehensive overview of the current state and future prospects of text-to-video AI technology.
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Wei Sun
Wei is a senior consultant in Counterpoint specializing in Artificial Intelligence. She is also the China founder of Humanity+, an international non-profit organization which advocates the ethical use of emerging technologies. She formerly served as a product manager of Embedded Industrial PC at Advantech. Before that she was an MBA consultant to Nuance Communications where her team successfully developed and launched Nuance’s first B2C voice recognition app on iPhone (later became Siri). Wei’s early years in the industry were spent in IDC’s Massachusetts headquarters and The World Bank’s DC headquarters.
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