Video generation with realistic motion (Practical AI #301)
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Advancements and Challenges in Video Generation
This chapter examines the evolution of video generation technology, highlighting the advancements up to 2024 and the challenges faced in closing the gap between image and video generation. It discusses the complexities of sourcing and curating high-quality video data, as well as the unique difficulties in training models to simulate realistic motion. The chapter emphasizes the importance of rigorous evaluation processes and the ongoing efforts to make video generation technology more accessible through open-sourcing initiatives.
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