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EnglishDeep learning has brought an unprecedented progress in computer vision and significant advances have been made in predicting subjective properties inherent to visual data (e.g., memorability, aesthetic quality, evoked emotions, etc.). Recently, some research works have even proposed deep learning approaches to modify images such as to appropriately alter these properties. Following this research line, this paper introduces a novel deep learning framework for synthesizing images in order to enhance a predefined perceptual attribute. Our approach takes as input a natural image and exploits recent models for deep style trans-fer and generative adversarial networks to change its style in order to modify a specific high-level attribute. Differently from previous works focusing on enhancing a specific property of a visual content, we pro-pose a general framework and demonstrate its effectiveness in two use cases,i.e.increasing image memorability and generating scary pictures.We evaluate the proposed approach on publicly available benchmarks,demonstrating its advantages over state of the art methods.
Enhancing Perceptual Attributes with Bayesian Style Generation / Siarohin, A.; Zen, G.; Sebe, N.; Ricci, E.. - 11361 LNCS(2019), pp. 483-498. ((Intervento presentato al convegno ACCV tenutosi a Perth, Australia nel 2–6 December, 2018 [10.1007/978-3-030-20887-5_30].
| Titolo: | Enhancing Perceptual Attributes with Bayesian Style Generation | |
| Autori: | Siarohin, A.; Zen, G.; Sebe, N.; Ricci, E. | |
| Autori Unitn: | ||
| Titolo del volume contenente il saggio: | Asian Conference on Computer Vision | |
| Luogo di edizione: | Heidelberg | |
| Casa editrice: | Springer | |
| Anno di pubblicazione: | 2019 | |
| Codice identificativo Scopus: | 2-s2.0-85066783462 | |
| Codice identificativo WOS: | WOS:000492901400030 | |
| Handle: | http://hdl.handle.net/11572/250731 | |
| Citazione: | Enhancing Perceptual Attributes with Bayesian Style Generation / Siarohin, A.; Zen, G.; Sebe, N.; Ricci, E.. - 11361 LNCS(2019), pp. 483-498. ((Intervento presentato al convegno ACCV tenutosi a Perth, Australia nel 2–6 December, 2018 [10.1007/978-3-030-20887-5_30]. | |
| Appare nelle tipologie: | 04.1 Saggio in atti di convegno (Paper in proceedings) |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 1812.00717.pdf | Pre-print non referato (Non-refereed preprint) | Tutti i diritti riservati (All rights reserved) | Open Access Visualizza/Apri | |
| Siarohin2019_Chapter_EnhancingPerceptualAttributesW (1).pdf | Versione editoriale (Publisher’s layout) | Tutti i diritti riservati (All rights reserved) | Administrator |
http://hdl.handle.net/11572/250731
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