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Let there be color!: joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification.

, , и . ACM Trans. Graph., 35 (4): 110:1-110:11 (2016)

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Satoshi Ejima

Hajime Iizuka

Satoshi Okawa

Satoshi Otomo

Satoshi Murayama

 

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Let there be color!: joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification., , и . ACM Trans. Graph., 35 (4): 110:1-110:11 (2016)Efficient Depth Propagation for Constructing a Layered Depth Image from a Single Image., , , , и . Comput. Graph. Forum, 33 (7): 279-288 (2014)Spectral Normalization and Relativistic Adversarial Training for Conditional Pose Generation with Self-Attention., , , и . MVA, стр. 1-5. IEEE, (2019)MLSNet: Resource-Efficient Adaptive Inference with Multi-Level Segmentation Networks., , и . ICIP, стр. 1510-1514. IEEE, (2019)Optimization-Based Data Generation for Photo Enhancement., , , , и . CVPR Workshops, стр. 1890-1898. Computer Vision Foundation / IEEE, (2019)A New Large-Scale Video Dataset of the Eyelid Opening Degree for Deep Regression-Based PERCLOS Estimation., , , , , и . MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, том 14394 из Lecture Notes in Computer Science, стр. 45-55. Springer, (2023)Mastering Sketching: Adversarial Augmentation for Structured Prediction., , и . CoRR, (2017)Adaptive Energy Selection for Content-Aware Image Resizing., , , , , , и . ACPR, стр. 852-857. IEEE Computer Society, (2017)Learning to simplify: fully convolutional networks for rough sketch cleanup., , , и . ACM Trans. Graph., 35 (4): 121:1-121:11 (2016)Room reconstruction from a single spherical image by higher-order energy minimization., , , , , и . ICPR, стр. 1768-1773. IEEE, (2016)