Search Results for author: Fanyi Yang

Found 2 papers, 1 papers with code

PKU-AIGIQA-4K: A Perceptual Quality Assessment Database for Both Text-to-Image and Image-to-Image AI-Generated Images

no code implementations • 29 Apr 2024 • Jiquan Yuan, Fanyi Yang, Jihe Li, Xinyan Cao, Jinming Che, Jinlong Lin, Xixin Cao

This oversight highlights a critical gap in the current research landscape, underscoring the need for dedicated databases catering to image-to-image scenarios, as well as more comprehensive databases that encompass a broader range of AI-generated image scenarios.

4k Image Generation +1

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PKU-I2IQA: An Image-to-Image Quality Assessment Database for AI Generated Images

1 code implementation • 27 Nov 2023 • Jiquan Yuan, Xinyan Cao, Changjin Li, Fanyi Yang, Jinlong Lin, Xixin Cao

Although previous work has established several human perception-based AIGC image quality assessment (AIGCIQA) databases for text-generated images, the AI image generation technology includes scenarios like text-to-image and image-to-image, and assessing only the images generated by text-to-image models is insufficient.

Image Generation No-Reference Image Quality Assessment

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