Editing out-of-domain GAN inversion via differential activations
Despite the demonstrated editing capacity in the latent space of a pretrained GAN model, inverting real-world images is stuck in a dilemma that the reconstruction cannot be faithful to the original input. The main reason for this is that the distributions between training and real-world data are mis...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| 格式: | text |
| 語言: | English |
| 出版: |
Institutional Knowledge at Singapore Management University
2022
|
| 主題: | |
| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/8426 https://ink.library.smu.edu.sg/context/sis_research/article/9429/viewcontent/2207.08134.pdf |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|