1. Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, and Kibeom Hong. 2023. DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models. ArXiv abs/2309.06933 (2023). https://api.semanticscholar.org/CorpusID:261706081
2. Yuval Alaluf, Elad Richardson, Gal Metzer, and Daniel Cohen-Or. 2023. A Neural Space-Time Representation for Text-to-Image Personalization. ArXiv abs/2305.15391 (2023). https://api.semanticscholar.org/CorpusID:258866047
3. Amazon. 2023. Amazon Mechanical Turk. https://www.mturk.com/.
4. Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, and Amit H Bermano. 2023. Domain-agnostic tuning-encoder for fast personalization of text-to-image models. arXiv preprint arXiv:2307.06925 (2023).
5. David Arthur and Sergei Vassilvitskii. 2007. k-means++: the advantages of careful seeding. In ACM-SIAM Symposium on Discrete Algorithms. https://api.semanticscholar.org/CorpusID:1782131