Text-to-Video

Text-to-video represents the frontier of generative AI, with models like OpenAI's Sora, Google's Veo, and Runway's Gen-3 producing increasingly realistic video from text prompts. These systems must handle challenges beyond image generation: temporal consistency (objects should look the same across frames), realistic motion and physics, scene transitions, and maintaining coherence over longer durations. Most approaches extend diffusion model architectures with temporal layers or use transformer-based video generation. While early results were limited to a few seconds of low-resolution video, by 2025, leading models can generate minutes of high-definition video with impressive physical realism. Applications span filmmaking, advertising, education, and entertainment, though the technology raises significant concerns about deepfakes and misinformation.