Practical AI Video generation with realistic motion
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Jan 23, 2025 
Paras Jain, CEO of Genmo, leads a company dedicated to creating videos with realistic motion. He discusses the current surge in video generation tools and the challenges models face, particularly in achieving lifelike walking motions. Paras shares insights on the evolution from traditional GANs to advanced diffusion models like Mochi, emphasizing the importance of quality data. He also envisions a future where AI empowers creativity in storytelling, making video creation accessible and enhancing originality in content.
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Video Generation's Significance and Challenge
- Video generation is the ultimate creative modality, crucial for human communication.
- It involves synthesizing vast amounts of data, exceeding images and text in complexity.
Video vs. Image Generation
- Video generation requires different models and processes than image generation.
- The sheer volume of video data necessitates specialized architectures and systems.
Motion Data's Importance
- Video data's abundance online can be deceptive; much of it lacks meaningful motion.
- High-quality motion data is crucial for models to learn physics, realism, and world dynamics.