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	Deep Cascaded Bi-Network for Face Hallucination
	Shizhan Zhu; Sifei Liu; Chen Change Loy; Xiaoou Tang
	2016
会议名称	ECCV2016
会议地点	荷兰阿姆斯特丹
英文摘要	We present a novel framework for hallucinating faces of un- constrained poses and with very low resolution (face size as small as 5pxIOD1). In contrast to existing studies that mostly ignore or assume pre-aligned face spatial con guration (e.g. facial landmarks localization or dense correspondence eld), we alternatingly optimize two comple- mentary tasks, namely face hallucination and dense correspondence eld estimation, in a uni ed framework. In addition, we propose a new gated deep bi-network that contains two functionality-specialized branches to recover di erent levels of texture details. Extensive experiments demon- strate that such formulation allows exceptional hallucination quality on in-the-wild low-res faces with signi cant pose and illumination variations.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/10025]
专题	深圳先进技术研究院_集成所
作者单位	2016
推荐引用方式 GB/T 7714	Shizhan Zhu,Sifei Liu,Chen Change Loy,et al. Deep Cascaded Bi-Network for Face Hallucination[C]. 见:ECCV2016. 荷兰阿姆斯特丹.

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