Chromagan: Adversarial picture colorization with semantic class distribution P Vitoria, L Raad, C Ballester Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 220 | 2020 |
Automatic flare spot artifact detection and removal in photographs P Vitoria, C Ballester Journal of Mathematical Imaging and Vision 61 (4), 515-533, 2019 | 42 | 2019 |
Semantic image inpainting through improved wasserstein generative adversarial networks P Vitoria, J Sintes, C Ballester arXiv preprint arXiv:1812.01071, 2018 | 36 | 2018 |
Non-uniform blur kernel estimation via adaptive basis decomposition G Carbajal, P Vitoria, M Delbracio, P Musé, J Lezama arXiv preprint arXiv:2102.01026, 2021 | 25 | 2021 |
Event-based image deblurring with dynamic motion awareness P Vitoria, S Georgoulis, S Tulyakov, A Bochicchio, J Erbach, Y Li European Conference on Computer Vision, 95-112, 2022 | 20 | 2022 |
Blind Motion Deblurring with Pixel-Wise Kernel Estimation via Kernel Prediction Networks G Carbajal, P Vitoria, J Lezama, P Musé IEEE Transactions on Computational Imaging, 2023 | 14 | 2023 |
Influence of color spaces for deep learning image colorization A Bugeau, R Giraud, L Raad Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2023 | 13 | 2023 |
EvShutter: Transforming Events for Unconstrained Rolling Shutter Correction J Erbach, S Tulyakov, P Vitoria, A Bochicchio, Y Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
Analysis of different losses for deep learning image colorization C Ballester, A Bugeau, H Carrillo, M Clément, R Giraud, L Raad, P Vitoria arXiv preprint arXiv:2204.02980, 2022 | 5 | 2022 |
Single image non-uniform blur kernel estimation via adaptive basis decomposition. G Carbajal, P Vitoria, M Delbracio, P Musé, J Lezama Computing Research Repository (CoRR), arXiv: 2102.01026, pp. 1-11, feb 2021, 2021 | 5 | 2021 |
Semantic Image Completion Through an Adversarial Strategy P Vitoria, J Sintes, C Ballester Computer Vision, Imaging and Computer Graphics Theory and Applications: 14th …, 2020 | 4 | 2020 |
An Analysis of Generative Methods for Multiple-Image Inpainting C Ballester, A Bugeau, S Hurault, S Parisotto, P Vitoria Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2022 | 3 | 2022 |
Rethinking Motion Deblurring Training: A Segmentation-Based Method for Simulating Non-Uniform Motion Blurred Images G Carbajal, P Vitoria, P Musé, J Lezama arXiv preprint arXiv:2209.12675, 2022 | 2 | 2022 |
An Analysis of Generative Methods for Multiple-Image Inpainting B Coloma, B Aurelie, H Samuel, P Simone, V Patricia Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2022 | 1 | 2022 |
Spatio-temporal tube segmentation through a video metrics-based patch similarity measure P Vitoria, V Fedorov, C Ballester Proceedings of the Irish Machine Vision and Image Processing Conference (IMVIP), 2017 | 1 | 2017 |
ChromaGAN: An Adversarial Approach for Picture Colorization P Vitoria, L Raad, C Ballester CoRR, 0 | 1 | |
Analysis of Different Losses for Deep Learning Image Colorization B Coloma, B Aurélie, C Hernan, C Michaël, G Rémi, R Lara, V Patricia Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2022 | | 2022 |
On data-driven models for image restoration P Vitoria Carrera Universitat Pompeu Fabra, 2021 | | 2021 |
Improving Generalization of Deep Motion Deblurring Networks: A Convolution-Based Procedure for Analyzing and Addressing the Limitations of Current Benchmark Datasets G Carbajal, P Vitoria, P Musé, J Lezama Available at SSRN 4604456, 0 | | |
Multiple and Diverse Image Colorization C Ballester, LR Cisa, P Vitoria | | |