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It is very challenging to reconstruct a high dynamic range (HDR) from a low dynamic range (LDR) image as an ill-posed problem.
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Do hdr displays support ldr content?: a psychophysical evaluation
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Optical splitting trees for high-precision monocular imaging
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Ldr2hdr: on-the-fly reverse tone mapping of legacy video and photographs
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Extending quality metrics to full luminance range images
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Display adaptive tone mapping
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Ground truth dataset and baseline evaluations for intrinsic image algorithms
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Evaluation of reverse tone mapping through varying exposure conditions
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A versatile HDR video production system
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sibl archive: Free hdri sets for smart image-based lighting
Hdrlabs · 2012
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Content-adaptive inverse tone mapping
Kuo P.-H., Tang C.-S., Chien S.-Y · 2012
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Unified HDR reconstruction from raw CFA data
Kronander J., Gustavson S., Bonnet G., Unger J · 2013
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Depth map prediction from a single image using a multi-scale deep network
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A unified framework for multi-sensor hdr video reconstruction
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High-quality reverse tone mapping for a wide range of exposures
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Accurate object detection with location relaxation and regionlets re-localization
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Flexisp: a flexible camera image processing framework
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Adaptive dualiso HDR reconstruction
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
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Multi-class multi-annotator active learning with robust gaussian process for visual recognition
Long C., Hua G · 2015
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Visual attention in ldr and hdr images
Nemoto H., Korshunov P., Hanhart P., Ebrahimi T · 2015
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Hdr-vdp-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images
Narwaria M., Mantiuk R., Da Silva M. P., Le Callet P · 2015
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U-net: Convolutional networks for biomedical image segmentation
Ronneberger O., Fischer P., Brox T · 2015
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Chapter 7 - evaluation of tone mapping operators for hdr video
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Identity mappings in deep residual networks
He K., Zhang X., Ren S · 2016
Deep sr-itm: Joint learning of super-resolution and inverse tone-mapping for 4k uhd hdr applications
Kim S. Y., Oh J., Kim M · 2019
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High dynamic range image examples
Ward G · 2019
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Shadow inpainting and removal using generative adversarial networks with slice convolutions
Wei J., Long C., Zou H., Xiao C · 2019
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Deep inverse tone mapping for compressed images
Wang C., Zhao Y., Wang R · 2019
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Free-form image inpainting with gated convolution
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Hdri haven
Zaal G · 2019
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Deep residual learning for image recognition
He K., Zhang X., Ren S., Sun J · 2016
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Deconvolution and checkerboard artifacts
Odena A., Dumoulin V., Olah C · 2016
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Instance normalization: The missing ingredient for fast stylization
Ulyanov D., Vedaldi A., Lempitsky V · 2016
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Hdr image reconstruction from a single exposure using deep cnns
Eilertsen G., Kronander J., Denes G., Mantiuk R. K., Unger J · 2017
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Deep reverse tone mapping
Endo Y., Kanamori Y., Mitani J · 2017
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The hdr photographic survey
Fairchild M. D · 2017
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Islam A., Long C., Basharat A., Hoogs A · 2020
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Single-image hdr reconstruction by learning to reverse the camera pipeline
Liu Y.-L., Lai W.-S., Chen Y.-S., Kao Y.-L., Yang M.-H., Chuang Y.-Y., Huang J.-B · 2020
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Arshadowgan: Shadow generative adversarial network for augmented reality in single light scenes
Liu D., Long C., Zhang H., Yu H., Dong X., Xiao C · 2020
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Single image HDR reconstruction using a CNN with masked features and perceptual loss
Santos M. S., Ren T. I., Kalantari N. K · 2020
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Multi-context and enhanced reconstruction network for single image super resolution
Zhang J., Long C., Wang Y., Yang X., Mei H., Yin B · 2020
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Cla-gan: A context and lightness aware generative adversarial network for shadow removal
Zhang L., Long C., Yan Q., Zhang X., Xiao C · 2020
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Ris-gan: Explore residual and illumination with generative adversarial networks for shadow removal
Zhang L., Long C., Zhang X., Xiao C · 2020
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Canet: A context-aware network for shadow removal
Chen Z., Long C., Zhang L., Xiao C · 2021
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A two-stage attentive network for single image super resolution
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