April 26, 2024, 4:45 a.m. | Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.16687v1 Announce Type: new
Abstract: This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2024. This challenge is to address a major challenge in the field of image and video processing, namely, Image Quality Assessment (IQA) and Video Quality Assessment (VQA) for AI-Generated Content (AIGC). The challenge is divided into the image track and the video track. …

abstract ai-generated content arxiv assessment challenge cs.cv cvpr generated image image restoration major paper quality reports restoration trends type will workshop

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