ibm-research/AIX360-CEM-MAF-data
Data for uscase with AIX360 CEM-MAF All data here corresponds to the notebook CEM-MAF example. The notebook automatically downloads the data. For each image, there are 3 files, a .png image file, a .npy file use to view image file, and a .npy file containg a latent features that can be use to generate the image with appropriate GAN. See notebook for more details. Images are based on a GAN trained on the CelebA [1] dataset of celebrity faces. [1] Ziwei Liu, Ping Luo, Xiaogang… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/AIX360-CEM-MAF-data.
Data for uscase with AIX360 CEM-MAF
All data here corresponds to the notebook CEM-MAF example. The notebook automatically downloads the data. For each image, there are 3 files, a .png image file, a .npy file use to view image file, and a .npy file containg a latent features that can be use to generate the image with appropriate GAN. See notebook for more details. Images are based on a GAN trained on the CelebA [1] dataset of celebrity faces.
[1] Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang. Deep Learning Face Attributes in the Wild. ICCV (2015).