Multi-Level Clarity Enhancement Program
SVLS video clarity problems mainly come from motion blur and resolution loss, and the project provides three enhancement strategies:
- Graded Enhanced Mode Selection::
--enhancer none: Maintains original resolution for high quality input video--enhancer lip: Apply super-resolution to the lip area only (recommended configuration)--enhancer face: Full Face Enhancement, which consumes more video memory but has more detail.
- Preprocessing Optimization: Pre-execution of source video using FFmpeg
-vf scale=1920:1080,unsharp=3:3:1.0Sharpening - aftertreatment program: Secondary enhancement via Topaz Video AI after generation
Measured data show that the use oflipWhen in enhancement mode, the PSNR indicator in the lip area can be improved by 5.8 dB. For 4K output requirements, it is recommended to intelligently amplify with Real-ESRGAN after 1080P enhancement generation.
This answer comes from the articleSVLS: SadTalker Enhanced to Generate Digital People Using Portrait VideoThe
May not be reproduced without permission:AI productivity tools " How to improve the visual clarity of SVLS-generated digital human videos?
