Advances in AI-Generated Images and Videos
In recent years generative AI models and tools have experienced a significant increase, especially techniques to generate synthetic multimedia content, such as images or videos. These methodologies present a wide range of possibilities; however, they can also present several risks that should be tak...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Internacional de La Rioja (UNIR)
2025-01-01
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| Series: | International Journal of Interactive Multimedia and Artificial Intelligence |
| Online Access: | https://www.ijimai.org/journal/bibcite/reference/3512 |
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| _version_ | 1841560760432459776 |
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| author | Hessen Bougueffa Mamadou Keita Wassim Hamidouche Abdelmalik Taleb-Ahmed Helena Liz-López Alejandro Martín David Camacho Abdenour Hadid |
| author_facet | Hessen Bougueffa Mamadou Keita Wassim Hamidouche Abdelmalik Taleb-Ahmed Helena Liz-López Alejandro Martín David Camacho Abdenour Hadid |
| author_sort | Hessen Bougueffa |
| collection | DOAJ |
| description | In recent years generative AI models and tools have experienced a significant increase, especially techniques to generate synthetic multimedia content, such as images or videos. These methodologies present a wide range of possibilities; however, they can also present several risks that should be taken into account. In this survey we describe in detail different techniques for generating synthetic multimedia content, and we also analyse the most recent techniques for their detection. In order to achieve these objectives, a key aspect is the availability of datasets, so we have also described the main datasets available in the state of the art. Finally, from our analysis we have extracted the main trends for the future, such as transparency and interpretability, the generation of multimodal multimedia content, the robustness of models and the increased use of diffusion models. We find a roadmap of deep challenges, including temporal consistency, computation requirements, generalizability, ethical aspects, and constant adaptation. |
| format | Article |
| id | doaj-art-2843e1c02a194a0b82c39af090fbc17f |
| institution | Kabale University |
| issn | 1989-1660 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Universidad Internacional de La Rioja (UNIR) |
| record_format | Article |
| series | International Journal of Interactive Multimedia and Artificial Intelligence |
| spelling | doaj-art-2843e1c02a194a0b82c39af090fbc17f2025-01-03T15:20:35ZengUniversidad Internacional de La Rioja (UNIR)International Journal of Interactive Multimedia and Artificial Intelligence1989-16602025-01-019117320810.9781/ijimai.2024.11.003ijimai.2024.11.003Advances in AI-Generated Images and VideosHessen BougueffaMamadou KeitaWassim HamidoucheAbdelmalik Taleb-AhmedHelena Liz-LópezAlejandro MartínDavid CamachoAbdenour HadidIn recent years generative AI models and tools have experienced a significant increase, especially techniques to generate synthetic multimedia content, such as images or videos. These methodologies present a wide range of possibilities; however, they can also present several risks that should be taken into account. In this survey we describe in detail different techniques for generating synthetic multimedia content, and we also analyse the most recent techniques for their detection. In order to achieve these objectives, a key aspect is the availability of datasets, so we have also described the main datasets available in the state of the art. Finally, from our analysis we have extracted the main trends for the future, such as transparency and interpretability, the generation of multimodal multimedia content, the robustness of models and the increased use of diffusion models. We find a roadmap of deep challenges, including temporal consistency, computation requirements, generalizability, ethical aspects, and constant adaptation.https://www.ijimai.org/journal/bibcite/reference/3512 |
| spellingShingle | Hessen Bougueffa Mamadou Keita Wassim Hamidouche Abdelmalik Taleb-Ahmed Helena Liz-López Alejandro Martín David Camacho Abdenour Hadid Advances in AI-Generated Images and Videos International Journal of Interactive Multimedia and Artificial Intelligence |
| title | Advances in AI-Generated Images and Videos |
| title_full | Advances in AI-Generated Images and Videos |
| title_fullStr | Advances in AI-Generated Images and Videos |
| title_full_unstemmed | Advances in AI-Generated Images and Videos |
| title_short | Advances in AI-Generated Images and Videos |
| title_sort | advances in ai generated images and videos |
| url | https://www.ijimai.org/journal/bibcite/reference/3512 |
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