Consistent solutions for sports style migration
When there are significant stylistic differences between the source and target videos, the following methods can be used to maintain visual consistency:
- Color pre-processing: Perform histogram matching on the source video first to ensure that the two videos have similar tonal ranges before extracting the motion patterns.
- Layered Movement Migration: Specify that only specific layers (e.g., background or foreground) are migrated via the -layer_level parameter.
- Dynamic intensity adjustment: Add the -motion_scale parameter (0.5-1.5 range) to cut_and_drag_inference.py to control the drasticness of the migratory movement
- semantic alignment cue: explicitly describe the correspondence between the source and target scenes in the prompt (e.g., "cloud movement like ocean waves")
Special scene processing: for cross-domain migration such as cartoon to live view, it is recommended to use StyleGAN class model to unify the visual style first, and then carry out motion migration.
This answer comes from the articleGo-with-the-Flow: Controls the movement of objects in the video, adding or subtracting any moving objects in the video.The
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