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SOCIAL MEDIA TITLE TAG
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2026-01-14 15:34:34
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Inserting Anybody in Diffusion Models via Celeb Basis Inserting Anybody in Diffusion Models via Celeb Basis NIPS 2023 Poster Ge Yuan 1,2 Xiaodong Cun 2 Yong Zhang 2 Maomao Li 2,* Chenyang Qi 3,2 Xintao Wang 2 Ying Shan 2 Huicheng Zheng 1,* 1 Sun Yat-sen University 2 Tencent AI Lab 3 HKUST Paper Code TL;DR: Intergrating a unique individual into the pre-trained diffusion model with: ✅ just one facial photograph ✅ only 1024 learnable parameters ✅ in 3 minutes tunning ✅ Textural-Inversion compatibility ✅ Genearte and interact with other (new person) concepts Method The text embedding space has some nice feature of Interpolation, which inspired us to define a space for human generation. First, we collect about 1,500 celebrity names as the initial collection. Then, we manually filter the initial one to $m=691$ names, based on the synthesis qua...
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