“A Well-aligned Dataset for Learning Image Signal Processing on Smartphones From a High-end Camera” by Xing, Li, Zhang and Chen
Conference:
Type(s):
Entry Number: 45
Title:
- A Well-aligned Dataset for Learning Image Signal Processing on Smartphones From a High-end Camera
Presenter(s)/Author(s):
References:
Steve Bako, Thijs Vogels, Brian McWilliams, Mark Meyer, Jan Novák, Alex Harvill, Pradeep Sen, Tony Derose, and Fabrice Rousselle. 2017. Kernel-predicting convolutional networks for denoising Monte Carlo renderings.ACM Trans. Graph. (TOG) 36, 4 (2017), 97–1.Google ScholarDigital Library
Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun. 2018. Learning to See in the Dark. In Conference on Computer Vision and Pattern Recognition (CVPR).Google ScholarCross Ref
Gabriele Guarnieri, Stefano Marsi, and Giovanni Ramponi. 2011. High Dynamic Range Image Display With Halo and Clipping Prevention. IEEE Trans. Image Processing (TIP) 36, 4 (2011), 1–12.Google Scholar
Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, and Luc Van Gool. 2017. DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks. In International Conference on Computer Vision (ICCV).Google Scholar
Sylvain Paris, Samuel W Hasinoff, and Jan Kautz. 2011. Local laplacian filters: Edge-aware image processing with a laplacian pyramid.ACM Trans. Graph. (TOG) 30, 4 (2011), 68.Google ScholarDigital Library
Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, and Jan Kautz. 2019. Pixel-Adaptive Convolutional Neural Networks. In Conference on Computer Vision and Pattern Recognition (CVPR).Google Scholar