Towards Generating Authentic Human-Removed Pictures in Crowded Places Using a Few-Second Video
Juhwan Lee, Euihyeok Lee, Seungwoo Kang
TL;DR
This paper introduces Thanos, a system that removes people from crowded landmark photos using short videos to create natural-looking images.
Contribution
The novel contribution is a multi-frame-based recovery region minimization method for efficient and high-quality human removal.
Findings
Thanos achieves lower Fréchet Inception Distance (FID) scores compared to existing methods.
The system outperforms Retouch-photos and Samsung object eraser in generating authentic human-removed images.
Abstract
If we visit famous and iconic landmarks, we may want to take a photo of them. However, such sites are usually crowded, and taking photos with only landmarks without people could be challenging. This paper aims to automatically remove people in a picture and produce a natural image of the landmark alone. To this end, it presents Thanos, a system to generate authentic human-removed images in crowded places. It is designed to produce high-quality images with reasonable computation cost using short video clips of a few seconds. For this purpose, a multi-frame-based recovery region minimization method is proposed. The key idea is to aggregate information partially available from multiple image frames to minimize the area to be restored. The evaluation result presents that the proposed method outperforms alternatives; it shows lower Fréchet Inception Distance (FID) scores with comparable…
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Taxonomy
TopicsAdvanced Image and Video Retrieval Techniques · Visual Attention and Saliency Detection · Video Surveillance and Tracking Methods