The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Image-to-Image Translation: Methods and Applications
Open accessAbstract
Image-to-image translation (I2I) aims to transfer images from a source domain to a target domain while preserving the content representations. I2I has drawn increasing attention and made tremendous progress in recent years because of its wide range of applications in many computer vision and image processing problems, such as image synthesis, segmentation, style transfer, restoration, and pose estimation. In this paper, we provide an overview of the I2I works developed in recent years. We will analyze the key techniques of the existing I2I works and clarify the main progress the community has made. Additionally, we will elaborate on the effect of I2I on the research and industry community and point out remaining challenges in related fields.
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Citations
Cites
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.244 · Cited by 23,602
Image-to-Image Translation with Conditional Adversarial Networks
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Cited by
GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer
Deressa, D. W., Mareen, H., Lambert, P., Atnafu, S., Akhtar, Z., & Van Wallendael, G. (2025) · Applied Sciences · doi:10.3390/app15126622 · Cited by 46
Metadata
- Authors
- Pang, Y., Lin, J., Qin, T., & Chen, Z.
- Venue
- IEEE Transactions on Multimedia
- Published
- 2022
- Volume
- 24
- Pages
- 3859-3881
- ISSN
- 1520-9210 (ISSN-L)
- 1941-0077
- OpenAlex
- W3196616669
- Cited by
- 378
- References
- 23
- FWCI
- 21.78
- Type
- journal article
- Language
- en
- Open access
- green
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