1 Zheng, H., "Wavelet-based nonlocal-means super resolution for video sequences" 2817-2820, 2010
2 Ronneberger, O., "U-net: Convolutional networks for biomedical image segmentation" 234-241, 2015
3 Makwana, R. R., "Survey on single image super resolution techniques" 5 : 23-33, 2013
4 Liyakathunisa, "Superresolution blind reconstruction of low-resolution images using wavelets based fusion" 40 : 177-181, 2008
5 Zheng, Q., "Summary study of data-driven photometric stereo methods" 2 : 213-221, 2020
6 Zheng, Q., "SPLINE-Net: Sparse photometric stereo through lighting interpolation and normal estimation networks" 8549-8558, 2019
7 Wu, L., "Robust photometric stereo via low-rank matrix completion and recovery" 703-717, 2010
8 Einarsson, P., "Relighting human locomotion with flowed reflectance fields" 183-194, 2006
9 Iwahori, Y., "Principal components analysis and neural network implementation of photometric stereo" 117-, 1995
10 Alldrin, N., "Photometric stereo with non-parametric and spatially-varying reflectance" 1-8, 2008
1 Zheng, H., "Wavelet-based nonlocal-means super resolution for video sequences" 2817-2820, 2010
2 Ronneberger, O., "U-net: Convolutional networks for biomedical image segmentation" 234-241, 2015
3 Makwana, R. R., "Survey on single image super resolution techniques" 5 : 23-33, 2013
4 Liyakathunisa, "Superresolution blind reconstruction of low-resolution images using wavelets based fusion" 40 : 177-181, 2008
5 Zheng, Q., "Summary study of data-driven photometric stereo methods" 2 : 213-221, 2020
6 Zheng, Q., "SPLINE-Net: Sparse photometric stereo through lighting interpolation and normal estimation networks" 8549-8558, 2019
7 Wu, L., "Robust photometric stereo via low-rank matrix completion and recovery" 703-717, 2010
8 Einarsson, P., "Relighting human locomotion with flowed reflectance fields" 183-194, 2006
9 Iwahori, Y., "Principal components analysis and neural network implementation of photometric stereo" 117-, 1995
10 Alldrin, N., "Photometric stereo with non-parametric and spatially-varying reflectance" 1-8, 2008
11 Ikehata, S., "Photometric stereo using constrained bivariate regression for general isotropic surfaces" 2179-2186, 2014
12 Hayakawa, H., "Photometric stereo under a light source with arbitrary motion" 11 : 3079-3089, 1994
13 Woodham, R. J., "Photometric method for determining surface orientation frommultiple images" 19 : 191139-, 1980
14 Chen, G., "PS-FCN: A flexible learning framework for photometric stereo" 3-18, 2018
15 Jin, J., "Light field spatial super-resolution via deep combinatorial geometry embedding and structural consistency regularization" 2260-2269, 2020
16 Li, J., "Learning to minify photometric stereo" 7568-7576, 2019
17 Dong, C., "Learning a deep convolutional network for image super-resolution" 184-199, 2014
18 Mei, Y., "Image super-resolution with cross-scale non-local attention and exhaustive self-exemplars mining" 5690-5699, 2020
19 Zhang, Y., "Image super-resolution using very deep residual channel attention networks" 286-301, 2018
20 Patel, V., "Hybrid approach for single image super resolution using ISEF and IBP" 495-499, 2011
21 Jiang, K., "Hierarchical dense recursive network for image super-resolution" 107 : 107475-, 2020
22 Lim, B., "Enhanced deep residual networks for single image super-resolution" 136-144, 2017
23 He, K., "Deep residual learning for image recognition" 770-778, 2016
24 Santo, H., "Deep photometric stereo network" 501-509, 2017
25 Keras, "Deep learning for humans"
26 Guanying Chen, "Deep Photometric Stereo for Non-Lambertian Surfaces" Institute of Electrical and Electronics Engineers (IEEE) 1-1, 2020
27 Zhihao Wang, "Deep Learning for Image Super-Resolution: A Survey" Institute of Electrical and Electronics Engineers (IEEE) 43 (43): 3365-3387, 2021
28 Ikehata, S., "CNN-PS: CNN-based photometric stereo for general non-convex surfaces" 3-18, 2018
29 Shi, B., "Bipolynomial modeling of low-frequency reflectances" 36 : 1078-1091, 2013
30 Kingma, D. P., "Adam: A method for stochastic optimization"
31 Kim, J., "Accurate image superresolution using very deep convolutional networks" 1646-1654, 2016
32 Chen, L., "A microfacet-basedmodel for photometric stereo with general isotropic reflectance" 43 : 48-61, 2019
33 Shi, B., "A benchmark dataset and evaluation for non-Lambertian and uncalibrated photometric stereo" 3707-3716, 2016