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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 ...
Illumination-guided inverse rendering benchmark: Learning real objects with few cameras
(Elsevier, 2023-10)
The realm of 3D computer vision and graphics has experienced exponential growth recently, enabling the creation of realistic virtual environments and digital representations of real-world objects. Central to this progression ...
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 ...
Fashion image retrieval with capsule networks
(IEEE, 2019)
In this study, we investigate in-shop clothing retrieval performance of densely-connected Capsule Networks with dynamic routing. To achieve this, we propose Triplet-based design of Capsule Network architecture with two ...
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