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Text-to-Video Generation Tools: Trends, Challenges, and Opportunities
Video generation technology has undergone multiple evolutionary leaps. In the 2010s, convolutional neural networks (CNNs), a deep learning algorithm, revolutionized the ability to classify and analyze images, spreading its applications across facial recognition, medical imaging, and more. In 2014, generative adversarial networks (GANs) emerged, another deep learning algorithm capable of creating realistic images but limited to simpler tasks like anime creation, face swapping, and basic video analytics due to the lack of context understanding and gesture synchronization.
July, 2024