Interactive Image Restoration

10/24/2019
by   Zhiwei Han, et al.
0

Machine learning and many of its applications are considered hard to approach due to their complexity and lack of transparency. One mission of human-centric machine learning is to improve algorithm transparency and user satisfaction while ensuring an acceptable task accuracy. In this work, we present an interactive image restoration framework, which exploits both image prior and human painting knowledge in an iterative manner such that they can boost on each other. Additionally, in this system users can repeatedly get feedback of their interactions from the restoration progress. This informs the users about their impact on the restoration results, which leads to better sense of control, which can lead to greater trust and approachability. The positive results of both objective and subjective evaluation indicate that, our interactive approach positively contributes to the approachability of restoration algorithms in terms of algorithm performance and user experience.

READ FULL TEXT

page 1

page 3

page 16

page 17

page 18

research
05/22/2023

Restore Anything Pipeline: Segment Anything Meets Image Restoration

Recent image restoration methods have produced significant advancements ...
research
08/28/2020

Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy

Mixed-initiative systems allow users to interactively provide feedback t...
research
12/07/2018

What Are You Hiding? Algorithmic Transparency and User Perceptions

Extensive recent media focus has been directed towards the dark side of ...
research
04/01/2019

CFSNet: Toward a Controllable Feature Space for Image Restoration

Deep learning methods have witnessed the great progress in image restora...
research
08/03/2020

Enhancing autonomy transparency: an option-centric rationale approach

While the advances in artificial intelligence and machine learning empow...
research
06/07/2022

DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning

Automated Machine Learning (AutoML) is used more than ever before to sup...

Please sign up or login with your details

Forgot password? Click here to reset