[52] Yang Song and Stefano Ermon. Generative modeling by estimating gradients of the data distribution. Advances in neural information processing systems, 32, 2019.
[53] Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, and Daniel Cohen-Or. Designing an encoder for stylegan image manipulation. ACM Trans. Graph., 40(4), jul 2021. ISSN 0730-0301. doi: 10.1145/3450626.3459838. URL https://doi.org/10.1145/3450626.3459838.
[54] Narek Tumanyan, Omer Bar-Tal, Shai Bagon, and Tali Dekel. Splicing vit features for semantic appearance transfer. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10748-10757, 2022.
[55] Narek Tumanyan, Michal Geyer, Shai Bagon, and Tali Dekel. Plug-and-play diffusion features for text-driven image-to-image translation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
[56] Dani Valevski, Matan Kalman, Yossi Matias, and Yaniv Leviathan. Unitune: Text-driven image editing by fine tuning an image generation model on a single image. arXiv preprint arXiv:2210.09477, 2022.
[57] Yael Vinker, Eliahu Horwitz, Nir Zabari, and Yedid Hoshen. Image shape manipulation from a single augmented training sample. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 13769-13778, 2021.
[58] Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, and Kfir Aberman.  $p+$ : Extended textual conditioning in text-to-image generation. arXiv preprint arXiv:2303.09522, 2023.
[59] Miao Wang, Guo-Ye Yang, Ruilong Li, Run-Ze Liang, Song-Hai Zhang, Peter M Hall, and Shi-Min Hu. Example-guided style-consistent image synthesis from semantic labeling. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 1495-1504, 2019.
[60] Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, and Bryan Catanzaro. High-resolution image synthesis and semantic manipulation with conditional gans. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 8798-8807, 2017.
[61] Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, and Tiejun Huang. Images speak in images: A generalist painter for in-context visual learning. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
[62] Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, and Tiejun Huang. Seggpt: Segmenting everything in context. ArXiv, abs/2304.03284, 2023. URL https://api_semanticscholar.org/CorpusID:257985532.
[63] Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli. Image quality assessment: from error visibility to structural similarity. IEEE transactions on image processing, 13(4):600-612, 2004.
[64] Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, and Tom Goldstein. Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery. arXiv preprint arXiv:2302.03668, 2023.
[65] Eric Zhang Kai Wang Humphrey Shi Xingqian Xu, Zhangyang Wang. Versatile diffusion: Text, images and variations all in one diffusion model. 2022. URL https://arxiv.org/abs/2211.08332.
[66] Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, and Fang Wen. Paint by example: Exemplar-based image editing with diffusion models. arXiv preprint arXiv:2211.13227, 2022.
[67] Zili Yi, Hao Zhang, Ping Tan, and Minglun Gong. Dualgan: Unsupervised dual learning for image-to-image translation. In 2017 IEEE International Conference on Computer Vision (ICCV), pp. 2868-2876, 2017. doi: 10.1109/ICCV.2017.310.
[68] Changqian Yu, Changxin Gao, Jingbo Wang, Gang Yu, Chunhua Shen, and Nong Sang. Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation. Int. J. Comput. Vision, 129(11):3051-3068, nov 2021. ISSN 0920-5691. doi: 10.1007/s11263-021-01515-2. URL https://doi.org/10.1007/s11263-021-01515-2.
[69] Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, and Leonid Sigal. Dwnet: Dense warp-based network for pose-guided human video generation. In *British Machine Vision Conference*, 2019.
[70] Bo Zhang, Mingming He, Jing Liao, Pedro V Sander, Lu Yuan, Amine Bermak, and Dong Chen. Deep exemplar-based video colorization. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 8052-8061, 2019.