Nov 30, 2022 · KLiSH succeeds in extracting fine-grained semantics of GANs trained on datasets of various objects, e.g., car, portrait, animals, and so on.

Jun 30, 2023 · Different from existing methods, we propose a new clustering algorithm, KLiSH, by leveraging a strong characteristic of GAN's features – linear ...

This work proposes an unsupervised approach to extract learned semantic classes from GANs, providing strong evidence that the GAN learns a naturally clustered ...

Oct 22, 2024 · KLiSH succeeds in extracting fine-grained semantics of GANs trained on datasets of various objects, car, portrait, animals, and so on. With ...

We propose K-means with Linear Separability Heuristic (KLiSH) to decode semantic parts in GAN's features. No human annotated semantic segmentation is needed ...

Install PyTorch 1.7. · Download the GAN model from Dropbox on which you want to extract semantics and put them into models/pretrained/pytorch . · Install Pytorch- ...

Extracting Semantic Knowledge from GANs with Unsupervised Learning. record by Zhaoxiang Zhang • Extracting Semantic Knowledge from GANs with Unsupervised ...

Extracting semantic knowledge from gans with unsupervised learning. J Xu, Z Zhang, X Hu. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8) ...

To ease the difficulty of acquiring annotation labels in 3D data, a common method is using unsupervised and open-vocabulary semantic segmentation, which ...

This work uses a trained GAN to extract a pixel-wise representation from the input image and use it as feature vectors for a segmentation network and ...