Core Concepts
AI-generated images' naturalness is assessed through the AGIN database, highlighting technical and rationality perspectives.
Abstract
The content explores the naturalness assessment of AI-generated images through the AGIN database. It introduces the database, discusses the challenges of assessing naturalness in AI-generated images, and proposes the JOINT model for objective naturalness evaluation. The study emphasizes the importance of considering technical and rationality perspectives in assessing image naturalness.
- Introduces AGIN database for AI-generated image naturalness assessment.
- Discusses challenges in assessing naturalness in AI-generated images.
- Proposes JOINT model for objective naturalness evaluation.
- Emphasizes the significance of technical and rationality perspectives in image naturalness assessment.
Stats
AGIN은 AI 생성 이미지의 자연성을 평가하기 위한 데이터베이스입니다.
JOINT 모델은 객관적인 자연성 평가를 위해 제안되었습니다.
Quotes
"Naturalness is affected by both low-level technical distortions and high-level rationality distortions."
"Factors in two perspectives are related, but have disparate impacts on the overall naturalness."