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93 results

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Page 1
Learning Diverse Tone Styles for Image Retouching.
Wang H, Zhang J, Liu M, Wu X, Zuo W. Wang H, et al. IEEE Trans Image Process. 2024;33:310-321. doi: 10.1109/TIP.2023.3340522. Epub 2023 Dec 21. IEEE Trans Image Process. 2024. PMID: 38090849
Image retouching, aiming to regenerate the visually pleasing renditions of given images, is a subjective task where the users are with different aesthetic sensations. ...Besides, the intrinsic diversity of an expert due to the targeted processing of different
Image retouching, aiming to regenerate the visually pleasing renditions of given images, is a subjective task where the
Real-Time Deep Image Retouching Based on Learnt Semantics Dependent Global Transforms.
Gao Q, Wu X. Gao Q, et al. IEEE Trans Image Process. 2021;30:7378-7390. doi: 10.1109/TIP.2021.3104173. Epub 2021 Aug 26. IEEE Trans Image Process. 2021. PMID: 34424843
This allows us to simplify the machine learning problem of mimicking artists in photo retouching to constructing a deep artful image transform (DAIT) using convolutional neural networks (CNN). The CNN design of DAIT aims to learn the image-dependent parameter …
This allows us to simplify the machine learning problem of mimicking artists in photo retouching to constructing a deep artful ima
Dual-Branch Aesthetic Image Retouching Via Active Reinforcement Learning for Color Enhancement and Composition Optimization.
Liang D, Liu Y, Gao Y, Huang SJ, Chen S. Liang D, et al. IEEE Trans Vis Comput Graph. 2026 Mar 17;PP. doi: 10.1109/TVCG.2026.3674534. Online ahead of print. IEEE Trans Vis Comput Graph. 2026. PMID: 41843529
Existing learning-based visual retouching primarily focuses on improving image quality through end-to-end objective mapping between input and retouched images. ...The framework integrates pixel-level retouching actions with image-level op …
Existing learning-based visual retouching primarily focuses on improving image quality through end-to-end objective mapping be …
StyleRetoucher: Generalized Portrait Image Retouching With GAN Priors.
Su W, Wang C, Liu C, Han F, Fu H, Liao J. Su W, et al. IEEE Trans Vis Comput Graph. 2025 Sep;31(9):5089-5100. doi: 10.1109/TVCG.2024.3432910. IEEE Trans Vis Comput Graph. 2025. PMID: 39046867
Creating fine-retouched portrait images is tedious and time-consuming even for professional artists. There exist automatic retouching methods, but they either suffer from over-smoothing artifacts or lack generalization ability. To address such issues, we pres …
Creating fine-retouched portrait images is tedious and time-consuming even for professional artists. There exist automatic …
Benchmarking Scientific Image Forgery Detectors.
Cardenuto JP, Rocha A. Cardenuto JP, et al. Sci Eng Ethics. 2022 Aug 9;28(4):35. doi: 10.1007/s11948-022-00391-4. Sci Eng Ethics. 2022. PMID: 35943614
In light of this, there is no comprehensive understanding on the limitations and capabilities of automatic image analysis tools for scientific images, which might create a false sense of data integrity. ...We create a large scientific forgery image benchmark …
In light of this, there is no comprehensive understanding on the limitations and capabilities of automatic image analysis tools for s …
SILA: a system for scientific image analysis.
Moreira D, Cardenuto JP, Shao R, Baireddy S, Cozzolino D, Gragnaniello D, Abd-Almageed W, Bestagini P, Tubaro S, Rocha A, Scheirer W, Verdoliva L, Delp E. Moreira D, et al. Sci Rep. 2022 Oct 31;12(1):18306. doi: 10.1038/s41598-022-21535-3. Sci Rep. 2022. PMID: 36316363 Free PMC article.
A great deal of the images found in scientific publications are retouched, reused, or composed to enhance the quality of the presentation. ...It thus remains up to human experts to inspect images as part of the peer-review process. Nonetheless, image a …
A great deal of the images found in scientific publications are retouched, reused, or composed to enhance the quality of the p …
Dual-color space network with global priors for photo retouching.
Park P, Oh H, Kim H. Park P, et al. Sci Rep. 2023 Nov 13;13(1):19798. doi: 10.1038/s41598-023-47186-6. Sci Rep. 2023. PMID: 37957352 Free PMC article.
There have been growing trends using deep learning-based approaches for photo retouching which aims to enhance unattractive images and make them visually appealing. However, the existing methods only considered the RGB color space, which limited the available color …
There have been growing trends using deep learning-based approaches for photo retouching which aims to enhance unattractive images
Neural correlates of beauty retouching to enhance attractiveness of self-depictions in women.
Ota C, Nakano T. Ota C, et al. Soc Neurosci. 2021 Apr;16(2):121-133. doi: 10.1080/17470919.2021.1873178. Epub 2021 Jan 18. Soc Neurosci. 2021. PMID: 33461393 Free article.
Beauty filters, while often employed for retouching photos to appear more attractive on social media, when used in excess cause images to give a distorted impression. The neural mechanisms underlying this change in facial attractiveness according to beauty retouc
Beauty filters, while often employed for retouching photos to appear more attractive on social media, when used in excess cause im
Leveraging Color Naming for Image Enhancement.
Serrano-Lozano D, Herranz L, Brown MS, Vazquez-Corral J. Serrano-Lozano D, et al. IEEE Trans Pattern Anal Mach Intell. 2026 May 6;PP. doi: 10.1109/TPAMI.2026.3690637. Online ahead of print. IEEE Trans Pattern Anal Mach Intell. 2026. PMID: 42090530
NamedCurves+ enhances the retouching process's interpretability and supports user interaction, allowing flexible modifications of individual tone curves to refine the retouched image according to personal preferences. Extensive experiments on tasks such as …
NamedCurves+ enhances the retouching process's interpretability and supports user interaction, allowing flexible modifications of ind …
The relationship between photo retouching addiction and social appearance anxiety for social internet users.
Yan D, Li G. Yan D, et al. Front Public Health. 2025 Jun 11;13:1594396. doi: 10.3389/fpubh.2025.1594396. eCollection 2025. Front Public Health. 2025. PMID: 40567955 Free PMC article.
There is a large population of social internet users who habitually retouch photos. These behaviors may be harmful, as some studies have shown that photo retouching behaviors may result in the potential risk of dependency and some addiction-like symptoms. ...Severe …
There is a large population of social internet users who habitually retouch photos. These behaviors may be harmful, as some studies h …
93 results