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We present a method for zero-shot, text-driven appearance manipulation in natural images and videos.
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Reed, S.E., Akata, Z., Yan, X., Logeswaran, L., Schiele, B., Lee, H.: Generative adversarial text to image synthesis. In: Proceedings of the 33rd International Conference on Machine Learning (ICML) (2016)
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Ruder, M., Dosovitskiy, A., Brox, T.: Artistic style transfer for videos. In: Pattern Recognition - 38th German Conference (GCPR) (2016)
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Dong, H., Yu, S., Wu, C., Guo, Y.: Semantic image synthesis via adversarial learning. In: Proceedings of the IEEE International Conference on Computer Vision, ICCV (2017)
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Zhang, H., Xu, T., Li, H., Zhang, S., Wang, X., Huang, X., Metaxas, D.N.: Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV) (2017)
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Nam, S., Kim, Y., Kim, S.J.: Text-adaptive generative adversarial networks: Manipulating images with natural language. In: Advances in Neural Information Processing Systems (NeurIPS) (2018)
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Xu, T., Zhang, P., Huang, Q., Zhang, H., Gan, Z., Huang, X., He, X.: Attngan: Fine-grained text to image generation with attentional generative adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
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Jamriška, O., Šárka Sochorová, Texler, O., Lukáč, M., Fišer, J., Lu, J., Shechtman, E., Sýkora, D.: Stylizing video by example. ACM Transactions on Graphics (2019)
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Jing, Y., Yang, Y., Feng, Z., Ye, J., Yu, Y., Song, M.: Neural style transfer: A review. IEEE transactions on visualization and computer graphics (2019)
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Kolkin, N.I., Salavon, J., Shakhnarovich, G.: Style transfer by relaxed optimal transport and self-similarity. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Kopf, A., Yang, E., DeVito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., Bai, J., Chintala, S.: Pytorch: An imperative style, high-performance deep learning library. In: Wallach, H., Larochelle, H., Beygelzimer, A., d'Alché-Buc, F., Fox, E., Garnett, R. (eds.) Advances in Neural Information Processing Systems 32, pp. 8024–8035. Curran Associates, Inc. (2019), http://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf
2019
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Shaham, T.R., Dekel, T., Michaeli, T.: Singan: Learning a generative model from a single natural image. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
2019
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Shocher, A., Bagon, S., Isola, P., Irani, M.: Ingan: Capturing and retargeting the ”dna” of a natural image. In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
2019
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Zhang, H., Xu, T., Li, H., Zhang, S., Wang, X., Huang, X., Metaxas, D.N.: Stackgan++: Realistic image synthesis with stacked generative adversarial networks. IEEE Transactions on Pattern Analysis and Machine Intelligence (2019)
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Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. In: Advances in Neural Information Processing Systems (NeurIPS) (2020)
2020
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2021
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2021
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Lu, E., Cole, F., Dekel, T., Zisserman, A., Freeman, W.T., Rubinstein, M.: Omnimatte: Associating objects and their effects in video. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
2021
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Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., Aila, T.: Analyzing and improving the image quality of stylegan. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, (CVPR) (2020)
2020
Cited alongside, same era.
Li, B., Qi, X., Lukasiewicz, T., Torr, P.H.: Manigan: Text-guided image manipulation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
2020
Cited alongside, same era.
Lu, E., Cole, F., Dekel, T., Xie, W., Zisserman, A., Salesin, D., Freeman, W.T., Rubinstein, M.: Layered neural rendering for retiming people in video. ACM Trans. Graph. (2020)
2020
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Park, T., Zhu, J., Wang, O., Lu, J., Shechtman, E., Efros, A.A., Zhang, R.: Swapping autoencoder for deep image manipulation. In: Advances in Neural Information Processing Systems (NeurIPS) (2020)
2020
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Texler, O., Futschik, D., Kučera, M., Jamriška, O., Šárka Sochorová, Chai, M., Tulyakov, S., Sýkora, D.: Interactive video stylization using few-shot patch-based training. ACM Transactions on Graphics (2020)
2020
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2021
Cited alongside, same era.
Caron, M., Touvron, H., Misra, I., Jegou, H., Mairal, J., Bojanowski, P., Joulin, A.: Emerging properties in self-supervised vision transformers. ICCV (2021)
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Chefer, H., Gur, S., Wolf, L.: Generic attention-model explainability for interpreting bi-modal and encoder-decoder transformers. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
2021
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2021
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2021
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Patashnik, O., Wu, Z., Shechtman, E., Cohen-Or, D., Lischinski, D.: Styleclip: Text-driven manipulation of stylegan imagery. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
2021
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Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., Sutskever, I.: Learning transferable visual models from natural language supervision. In: Proceedings of the 38th International Conference on Machine Learning (ICML) (2021)
2021
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Ramesh, A., Pavlov, M., Goh, G., Gray, S., Voss, C., Radford, A., Chen, M., Sutskever, I.: Zero-shot text-to-image generation. In: Proceedings of the 38th International Conference on Machine Learning (ICML) (2021)
2021
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Richardson, E., Alaluf, Y., Patashnik, O., Nitzan, Y., Azar, Y., Shapiro, S., Cohen-Or, D.: Encoding in style: a stylegan encoder for image-to-image translation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
2021
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Song, J., Meng, C., Ermon, S.: Denoising diffusion implicit models. In: 9th International Conference on Learning Representations, (ICLR) (2021)
2021
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Tov, O., Alaluf, Y., Nitzan, Y., Patashnik, O., Cohen-Or, D.: Designing an encoder for stylegan image manipulation. ACM Transactions on Graphics (TOG) (2021)
2021
Later among the works it cites.
2021
Later among the works it cites.
Avrahami, O., Lischinski, D., Fried, O.: Blended diffusion for text-driven editing of natural images. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
2022
Closest in time.
Jain, A., Mildenhall, B., Barron, J.T., Abbeel, P., Poole, B.: Zero-shot text-guided object generation with dream fields. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
2022
Closest in time.