- Face Super-Resolution Through Wasserstein GANs(arvix2017)
- High-Quality Face Image Super-Resolution Using Conditional Generative Adversarial Networks(arxiv2017)
- Learning to hallucinate face images via Component Generation and Enhancement(IJCAI2017)
- Wavelet-SRNet： A Wavelet-based CNN for Multi-scale Face Super Resolution(ICCV2017)
- Face Super-resolution Guided by Facial Component Heatmaps(ECCV2018)
- FSRNet： End-to-End Learning Face Super-Resolution with Facial Priors(cvpr2018)
- Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement(IJCV2018)
- Joint-Feature Guided Depth Map Super-Resolution With Face Priors(TCYB2018)
- Super-FAN： Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs(CVPR2018)
- Progressive Face Super-Resolution via Attention to Facial Landmark(BMVC2019)
- Reference_based_Face_Super-resolution(ACCESS2019)
- Residual Attribute Attention Network for Face Image Super-Resolution(AAAI2019)
- The visual human face super resolution reconstruct(Journal on Advances in Signal Processing2019)
- Learning to Have an Ear for Face Super-Resolution(CVPR2020)
depth map super-resolution(ICIP2011)
Depth map super-resolution using stereo-vision-assisted model(Neucom2014)
Edge guided single depth image super resolution(ICIP2014)
Depth Map Super-Resolution Considering View Synthesis Quality(TIP2017)
Joint-Feature Guided Depth Map Super-Resolution With Face Priors (TCYB2017)
Single depth image super-resolution and denoising based on sparse graphs via structure tensor(ICIP2017)
Depth map super-resolution via low-resolution depth guided joint trilateral up-sampling(JVCIR2017)
Depth image super-resolution based on joint sparse coding(prl2018)
Co-occurrent Structural Edge Detection for Color-Guided Depth Map Super-Resolution( MultiMedia Modeling2018)
Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution(TIP2018)
Deep Color Guided Coarse-to-Fine Convolutional Network Cascade for Depth Image Super-Resolution(TIP2018)
Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis(TCSVT2018)
Joint convolutional neural pyramid for depth map super-resolution(arxiv201801)
Depth Super-Resolution From RGB-D Pairs With Transform and Spatial Domain Regularization(TIP2018)
Image Super-Resolution Using Densely Connected Residual Networks(SPL2018)
Multi-scale Frequency Reconstruction for Guided Depth Map Super-resolution via Deep Residual Network(TCSVT2018)
Perceptual Deep Depth Super-Resolution(201812)
Depth Super-Resolution via Joint Color-Guided Internal and External Regularizations(TIP2019)
High-quality 3D Reconstruction with Depth Super-resolution and Completion(IEEE Access2019)
Simultaneous color-depth super-resolution with conditional generative adversarial networks(PR2019)
StereoSR：Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior（cvpr2018）
Learning Parallax Attention for Stereo Image Super-Resolution（cvpr2019）
Parallax-based Spatial and Channel Attention for Stereo Image Super-resolution(ACCESS2019)
A Stereo Attention Module for Stereo Image Super-Resolution(IEEE Signal Processing Letters 2020)
Non-Local Nested Residual Attention Network for Stereo Image Super-Resolution(ICASSP2020)
Disparity-Aware Domain Adaptation in Stereo Image Restoration(CVPR2020)