their closeness to the training data. Text-to-image generative
models use R-precision [52] to evaluate whether the gener-
ated image can be used to retrieve its input text description.
Recent works [35, 10] improve the robustness of R-precision
using the powerful CLIP model [36]. Cosine similarity com-
puted by CLIP, named CLIPScore [18], can also be directly
used as an objective metric.
3. Dataset
VideoBackgroundMusicGeneration