A practical approach to natural movement generation
To solve the problem of stiff movements in AI videos, the following specific measures can be taken:
- Precise action description:: Avoid vague descriptions such as "walks naturally", and replace it with specific descriptions such as "swings the right arm forward in synchronization with the left leg, with a stride length of about 60 cm". For complex movements, they can be described in multiple stages.
- Motion parameter control: Adjust the "Action Amplitude" (0-1 value range) and "Action Speed" parameters in the Advanced Settings, and it is recommended that the initial value be set to 0.5, and then fine-tuned according to the effect.
- Physical reasonableness check: Observe whether the generated video conforms to the underlying physical laws, e.g., whether the change in center of gravity conforms to the action, whether there is appropriate feedback from object interactions, etc. Adjust the cue words in a targeted manner when problems are found.
- Refer to the video guide: When available, a reference video can be uploaded first (even if it's a simple cell phone shot), and the system will analyze the movement patterns in it and apply them to the generated content.
Professional advice: build up a thesaurus of common actions (such as "leisurely pacing", "eager trotting", etc.), and accumulate combinations of action descriptions that have been verified to be effective; for key commercial projects, low-resolution dailies can be generated first to confirm the quality of the action.
This answer comes from the articleHiggsfield AI: Using AI to Generate Lifelike Videos and Personalized AvatarsThe
May not be reproduced without permission:AI productivity tools " How to overcome the problem of unnatural character movement in AI generated videos?
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