2015. Learning Face Hallucination in the Wild. In Twenty-Ninth AAAI Conference on Artificial Intelligence, 3871-3877.Zhou, E., Fan, H., Cao, Z., Jiang, Y., Yin, Q.: Learning face hallucination in the wild. In: Proc. of the AAAI Conf. on Artificial Intelligence. (2015)...
BCCNN2015Learning Face Hallucination in the Wild 题目:Learning Face Hallucination in the Wild【2015AAAI】 摘要: 提出了人脸幻觉方法,从低分辨率图像生成高分辨率图像,以更好地进行可视化。【缺点】但是,传统的幻觉方法通常是为受控设置而设计的,无法处理姿势,分辨率和模糊的变化条件。在本文中,我们提出了一种新的...
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face hallucination, Face Super-Resolution (SR) is a domain-specific super- aims to generate a High-Resolution (HR) face image from a resolution problem. The facial prior knowledge can be Low-Resolution (LR) input. It is a fundamental problem laePvneSorNvaeRgle/SddeSteoIpMbeenttde-1rt4os....
Face image super-resolution imaging is an important technology which can be utilized in crime scene investigations and public security. Modern CNN-based su
Face hallucination is a domain-specific super-resolution problem with the goal to generate high-resolution (HR) faces from low-resolution (LR) input images. In contrast to existing methods that often learn a single patch-to-patch mapping from LR to HR images and are regardless of the contextua...
attention-aware face hallucination via deep reinforcement learning通过深度强化学习实现注意力意识面部幻觉.pdf,Attention-Aware Face Hal nation via Deep Rein ment Learning ∗ Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li School of Data and
Survey of Hallucination in Natural Language Generation. arXiv 2022 paper bib Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Andrea Madotto, Pascale Fung Survey of the State of the Art in Natural Language Generation: Core tasks, applications and...
hallucination hypernetwork hyperparameter identifiability image editing image generation img2img implicit model implicit representation in context learning instance segmentation instruct interpolation knowledge base language generation language model layout lightweight line linear attention llm lm local attention loss...
Face recognition has been widely explored in the past years. A lot of techniques have been applied in various applications.Robustness and reliability have ... P Aishwarya - 《International Journal of Computer Applications》 被引量: 2发表: 2011年 Face hallucination via multiple feature learning with...