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Description-aware fashion image inpainting with convolutional neural networks in coarse-to-fine manner
(The ACM Digital Library, 2020-04-14)
Inpainting a particular missing region in an image is a challenging vision task, and promising improvements on this task have been achieved with the help of the recent developments in vision-related deep learning studies. ...
Instagram filter removal on fashionable images
(IEEE, 2021-06)
Social media images are generally transformed by filtering to obtain aesthetically more pleasing appearances. However, CNNs generally fail to interpret both the image and its filtered version as the same in the visual ...
Patch-wise contrastive style learning for instagram filter removal
(IEEE, 2022)
Image-level corruptions and perturbations degrade the performance of CNNs on different downstream vision tasks. Social media filters are one of the most common resources of various corruptions and perturbations for real-world ...
NTIRE 2022 challenge on night photography rendering
(IEEE, 2022)
This paper reviews the NTIRE 2022 challenge on night photography rendering. The challenge solicited solutions that processed RAW camera images captured in night scenes to produce a photo-finished output image encoded in ...
Modeling the lighting in scenes as style for auto white-balance correction
(IEEE, 2023)
Style may refer to different concepts (e.g. painting style, hairstyle, texture, color, filter, etc.) depending on how the feature space is formed. In this work, we propose a novel idea of interpreting the lighting in the ...
Generalization to unseen viewpoint images of objects via alleviated pose attentive capsule agreement
(Springer, 2023-02)
Despite their achievements in object recognition, Convolutional Neural Networks (CNNs) particularly fail to generalize to unseen viewpoints of a learned object even with substantial samples. On the other hand, recently ...
NTIRE 2023 challenge on night photography rendering
(IEEE, 2023)
This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby ...
AIM 2022 challenge on instagram filter removal: Methods and results
(Springer, 2023)
This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations, and the feature maps of the original ...
Reversing image signal processors by reverse style transferring
(Springer, 2023)
RAW image datasets are more suitable than the standard RGB image datasets for the ill-posed inverse problems in low-level vision, but not common in the literature. There are also a few studies to focus on mapping sRGB ...
Deterministic neural illumination mapping for efficient auto-white balance correction
(IEEE, 2023)
Auto-white balance (AWB) correction is a critical operation in image signal processors for accurate and consistent color correction across various illumination scenarios. This paper presents a novel and efficient AWB ...
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