Quality Optimization Program
Problem Analysis:Character movements in AI video generation are easy to be stiff, which mainly stems from three points: deviation of motion logic, lack of micro-expressions, and lack of limb coherence.
- Descriptor Optimization:Avoiding direct descriptions of complex actions in favor of staged descriptions (e.g., "the woman went from standing to bending over to pick up the book" instead of "the woman picked up the book")
- Lens Control:Add camera commands (e.g., "45-degree side-follow", "slow zoom") to distract from the people.
- Segment generation:Split long videos into 3-second segments and keep them connected with the keyword "continuous action".
- reprocessing program:After exporting, add motion blur and light effects to cover up imperfections with editing software.
Emergency programs:When generating the central character, switch to a combination of static images + dynamic backgrounds (e.g. "speaker standing + data flowing behind him").
This answer comes from the articleLuma Labs: Luma family of visual models that use rich natural language descriptions to generate high-quality images and videosThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of unnatural character video generated by Luma Ray2?
