Analysis of technical difficulties
Traditional methods are prone to problems such as garment deformation and unnatural folds when dealing with complex human postures, affecting the sense of realism.
Innovative solutions from MNVTON
- multimodal normalization: Handles human posture, clothing texture and lighting conditions separately.
- Dynamic deformation algorithm: Intelligent adjustment of garment deformation based on skeletal keypoints
- Physical Simulation Enhancement: Maintaining the physical properties of the fabric in critical areas (e.g. joints)
Specific operational guidance
- Ensure that the input image contains the complete human body contour
- Preprocessing images using the attitude estimation module provided with the project
- Selection of normalization parameters matching the type of clothing (everyday wear/dress, etc.)
- Fine-tuning of light and shadow effects through post-processing modules
Effectiveness Verification
After professional evaluation, the method achieved a realism score of 4.8/5 on MAFA (Virtual Try-On Standard Dataset), which is significantly better than the traditional method.
This answer comes from the article1-2-1-MNVTON: Efficient images, virtual trying on of clothes by people in videos (to be opened)The
May not be reproduced without permission:AI productivity tools " How to overcome the difficulty of unnatural fit of human posture and clothing in virtual fitting?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil