top of page

News to help your R&D in artificial intelligence, machine learning, robotics, computer vision, smart hardware

As an Amazon Associate I earn

from qualifying purchases

Writer's picturemorrislee

Restore images with many defect types by using shared aspects across diverse degradations with DaAIR

Restore images with many defect types by using shared aspects across diverse degradations with DaAIR


Efficient Degradation-aware Any Image Restoration



Reconstructing missing details from degraded low-quality inputs poses a significant challenge.


... large models capable of addressing ... degradations simultaneously ... these approaches introduce considerable computational overhead and complex learning paradigms


... propose DaAIR ... All-in-One image restorer employing a Degradation-aware Learner (DaLe) in the low-rank regime to ... mine shared aspects and ... nuances across diverse degradations, generating a degradation-aware embedding.


By dynamically allocating model capacity to input degradations, ... realize an efficient restorer integrating holistic and specific learning within a unified model.


Furthermore, DaAIR introduces a cost-efficient parameter update mechanism that enhances degradation awareness while maintaining computational efficiency.


... DaAIR outperforms both state-of-the-art All-in-One models and degradation-specific counterparts, affirming ... efficacy and practicality ...



Please like and share this post if you enjoyed it using the buttons at the bottom!


Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact 

Web site with my other posts by category https://morrislee1234.wixsite.com/website 



25 views0 comments

Comments


ClickBank paid link

bottom of page