Where is my spot? Few-shot image generation via latent subspace optimization

• Main Authors: ZHENG, Chenxi, LIU, Bangzhen, ZHANG, Huaidong, XU, Xuemiao, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Computer vision; Codes; Image synthesis; Training data; Robustness; Pattern recognition; Optimization; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/8447; https://ink.library.smu.edu.sg/context/sis_research/article/9450/viewcontent/Zheng_Where_Is_My_Spot_Few_Shot_Image_Generation_via_Latent_Subspace_CVPR_2023_paper.pdf
• Institution: Singapore Management University

Image generation relies on massive training data that can hardly produce diverse images of an unseen category according to a few examples. In this paper, we address this dilemma by projecting sparse few-shot samples into a continuous latent space that can potentially generate infinite unseen samples...