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

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

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...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

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

Similar Items