| Jianjin Xu1,2 | Zhaoxiang Zhang3 | Xiaolin Hu2 |
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| [Online Demo] | [Paper] | [Code] |
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| We propose K-means with Linear Separability Heuristic (KLiSH) to decode semantic parts in GAN's features. No human annotated semantic segmentation is needed throughout the process. The decoded semantic parts are fine-grained and accurate. One can use the decoded semantics for downstream semantic segmentation and semantic image editing tasks. |
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Work done while working at THBI, Tsinghua as a Research Assistant. |