A list of face hallucination/face super-resolution resources collected by Junjun Jiang.
Some classical algorithms (including NE, LSR, SR, LcR, LINE, TLcR-RL, and EigTran) that I implemented can be found here.
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Hallucinating face, FG2000, S. Baker and T. Kanade. [PDF]
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[NE] Super-resolution through neighbor embedding, CVPR2004, Chang et al. [Web]
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[LSR] Hallucinating face by position-patch, PR2010, Ma et al. [Web]
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[SR] Position-patch based face hallucination using convex optimization, SPL2010, Jung et al. [Web]
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[LcR] Noise robust face hallucination via locality-constrained representation, TMM2104, Jiang et al. [Web]
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[LINE] Multilayer Locality-Constrained Iterative Neighbor Embedding, TIP2014, Jiang et al. [Web]
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Face Hallucination Using Linear Models of Coupled Sparse Support, TIP2017, Reuben A. Farrugia et al. [PDF][Web]
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Hallucinating Face Image by Regularization Models in High-Resolution Feature Space, TIP2018, Jingang Shi et al. [PDF]
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[TLcR-RL] Context-Patch based Face Hallucination via Thresholding Locality-Constrained Representation and Reproducing Learning, TCYB2018, Junjun Jiang et al. [PDF][Web]
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Face Hallucination via Coarse-to-Fine Recursive Kernel Regression Structure, Jingang Shi et al. TMM 2109.
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Robust Face Image Super-Resolution via Joint Learning of Subdivided Contextual Model, Liang Chen et al. TIP2019. [PDF]
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SSR2: Sparse signal recovery for single-image super-resolution on faces with extreme low resolutions, RamziAbiantun et al. PR2019. [[https://www.sciencedirect.com/science/article/abs/pii/S0031320319300597]]
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[EigTran] Hallucinating face by eigentransformation, TSMC-C2005, Xiaogang Wang et al. [Web]
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Super-resolution of face images using kernel PCA-based prior, TMM2007, A. Chakrabarti et al. [PDF]
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A Bayesian Approach to Alignment-Based Image Hallucination, ECCV2012, Ce Liu et al. [PDF]
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A convex approach for image hallucination, AAPRW2013, P. Innerhofer et al. [Code]
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Structured face hallucination, CVPR2013, Y. Yang et al. [Web]
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A two-step approach to hallucinating faces: global parametric model and local nonparametric model, CVPR2001, Ce Liu et al. [Web]
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Hallucinating faces: LPH super-resolution and neighbor reconstruction for residue compensation, PR2007, Yuting Zhuang et al. [PDF]
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[CCA] Super-resolution of human face image using canonical correlation analysis, PR2010, Hua Huang et al. [PDF]
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[R-DGN] Ultra-resolving face images by discriminative generative networks, in ECCV2016, Xin Yu et al. [Web]
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[TDAE] Hallucinating very low-resolution unaligned and noisy face images, CVPR2017, Xin Yu et al. [Web]
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[TDN] Hallucinating very low-resolution unaligned and noisy face images by transformative discriminative autoencoders, AAAI2017, Xin Yu et al. [Web]
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Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning, Yukai Shi et al. PAMI 2019.
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Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement, Yibing Song et al. IJCV 2019. [Web]
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Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination, Huaibo Huang et al., IJCV 2109. [Code]
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Face hallucination from low quality images using definition-scalable inference, Xiao Hu et al. PR 2019.
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Can We See More? Joint Frontalization and Hallucination of Unaligned Tiny Faces, Xin Yu et al. PAMI 2019.
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[CBN] Deep cascaded bi-network for face hallucination, ECCV2016, S. Zhu et al. [PDF][Web]
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[LCGE] Learning to hallucinate face images via component generation and enhancement, IJCAI2017, Y. Song et al. [PDF][Web]
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Attention-Aware Face Hallucination via Deep Reinforcement Learning, CVPR2017, Qingxing Cao et al. [PDF][Web]
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Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination, IJCAI2018, Junjun Jiang et al. [PDF][Web]
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[FSRNet] FSRNet: End-to-End learning face super-resolution with facial priors, CVPR, 2018 Yu Chen et al. [PDF][Web]
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Super-FAN: integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs, CVPR2018, Adrian Bulat et al. [PDF][Web]
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Face super-resolution guided by facial component heatmaps, ECCV2018, Xin Yu et al. [PDF] [Web]
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A coarse-to-fine face hallucination method by exploiting facial prior knowledge, ICIP2018, Mengyan Li et al. [PDF][Web]
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Residual Attribute Attention Network for Face Image Super-Resolution, Jingwei Xin et al. AAAI2019. [[https://wvvw.aaai.org/ojs/index.php/AAAI/article/view/4937]]
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Progressive Face Super-Resolution via Attention to Facial Landmark, ECCV2019, Deokyun Kim et al. [PDF][Code]
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[FaceAttr] Super-resolving very low-resolution face images with supplementary attributes, CVPR2018, Xin Yu et al. [PDF][Web]
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Attribute-Guided Face Generation Using Conditional CycleGAN, ECCV2018, Yongyi Lu et al. [PDF][Web]
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Attribute Augmented Convolutional Neural Network for Face Hallucination, CVPRW2018, Cheng-Han Lee et al. [PDF][Web]
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Exemplar Guided Face Image Super-Resolution without Facial Landmarks, CVPRW 2019.
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[GFSRNet] Learning Warped Guidance for Blind Face Restoration, ECCV2018, Xiaoming Li et al. [PDF][Web]
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To learn image super-resolution, use a GAN to learn how to do image degradation first, ECCV2018, Adrian Bulat et al. [PDF][Web]
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SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination, arXiv2018, Hsu et al. [PDF]
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Face hallucination using cascaded super-resolution and identity priors, arXiv2018, K. Grm et al. [PDF]
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Super-Identity Convolutional Neural Network for Face Hallucination, ECCV2018, Kaipeng Zhang et al. [PDF][Web]
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Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network, TR2018-116, Esra Ataer-Cansizoglu et al. [PDF]
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FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network, arXiv 2019.
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SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination, Chih-Chung Hsu et al., TIP 2019. [Code]
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RMSE, PSNR, SSIM
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Face recognition rate
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Mean Opinion Score (MOS)