{"repo":"zijianchen98/AGIN","free":true,"listed":false,"github":"https://github.com/zijianchen98/AGIN","clone":"git clone https://github.com/zijianchen98/AGIN.git","description":"[IEEE TCSVT'24] Study of Subjective and Objective Naturalness Assessment of AI-Generated Images","language":"Python","stars":38,"topics":["database","image-quality-assessment","ai-generated-image","rationality-perspective","technical-perspective"],"license":null,"category":"databases-storage","readme_excerpt":"Exploring the Naturalness of AI-Generated Images Do AI-generated Images look natural? Zijian Chen 1 , Wei Sun 1 , Haoning Wu 2 , Zicheng Zhang 1 , Jun Jia 1 , Ru Huang 3 , Xiongkuo Min 1 , Guangtao Zhai 1 , Wenjun Zhang 1 1 Shanghai Jiao Tong University, 2 Nanyang Technological University, 3 East China University of Science and Technology, Corresponding authors. Paper Abstract: We take the first step to benchmark and assess the visual naturalness of AI-generated images. First, we construct the AI-Generated Image Naturalness (AGIN) database by conducting a large-scale subjective study to collect human opinions on the overall naturalness as well as perceptions from technical and rationality perspectives . AGIN verifies that naturalness is universally and disparately affected by both technical and rationality distortions. Second, we propose the Joint Objective Image Naturalness evaluaTor (JOINT) , to automatically learn the naturalness of AGIs that aligns human ratings. Specifically, JOINT imitates human reasoning in naturalness evaluation by jointly learning both technical and rationality perspectives. Experimental results show our proposed JOINT significantly surpasses baselines for providing more subjectively consistent results on naturalness assessment. AI-Generated Image Naturalness (AGIN) Database Introduction The proposed AGIN includes two perspectives for naturalness assessment: technical (T) and rationality (R), each of which contains 5 dimensions: - For technical persp","default_branch":null,"files":null,"tree":[],"storefront":"/r/zijianchen98","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/zijianchen98/AGIN/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}