Audio-visual synchronization: Matching generated video with appropriate audio, particularly for speech, remains complex.

Ethical and legal issues: Concerns about deepfakes, copyright infringement, and potential misuse create regulatory and societal hurdles.

Dataset limitations: High-quality, diverse datasets for training are crucial but can be difficult and expensive to obtain.

Long-form content: Generating longer, narratively coherent videos is still a major challenge.

Real-time generation: While progress is being made, real-time high-quality video generation is still limited.

Bias and representation: Ensuring fair representation and avoiding biases in generated content is an important ongoing concern.