Summary of Is This Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body, by Zeqing Wang et al.
Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body
by Zeqing Wang, Qingyang Ma, Wentao Wan, Haojie Li, Keze Wang, Yonghong Tian
First submitted to arxiv on: 21 Nov 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes a new task called Fine-grained Human-body Abnormality Detection (FHAD) and introduces two datasets for evaluating abnormal human body structures. It also presents a framework called HumanCalibrator that detects and repairs abnormalities in human bodies while preserving other visual content. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research aims to improve the accuracy of detecting and repairing abnormalities in human photos, which is essential for various applications. The authors introduce a new task called FHAD, which requires identifying both the location and type of abnormality in human body structures. They also present two high-quality datasets for evaluating this task. To address this challenge, they propose a framework called HumanCalibrator that can detect and repair abnormalities while preserving other visual content. |
