What does the term "temporal coherence" signify in video generation with GANs?

The term "temporal coherence" in video generation with GANs is primarily concerned with the consistency of frame transitions in generated sequences. This means that as frames are produced over time, there should be a smooth and coherent flow from one frame to the next, rather than abrupt or jarring changes. Maintaining temporal coherence helps in generating videos that appear continuous and realistic, ensuring that movements and changes in the scene logically connect across frames.

While synchronization between audio and video streams is important in multimedia, it does not directly relate to the concept of temporal coherence in the visual aspect of video sequences. Similarly, the ability to compress video files without loss pertains to data handling and optimization rather than the visual consistency of generated frames. Lastly, the resolution standard deals with the clarity and detail of the visual output, which, although important, does not impact the temporal consistency that defines temporal coherence.