Dataset Groups Activity Stream FFHQ Dataset The FFHQ dataset is a large dataset of high-quality face images with 1024 × 1024 resolution with variations in age, gender, and glasses. BibTex: @dataset{Tero_Karras_and_Samuli_Laine_and_Timo_Aila_2024, abstract = {The FFHQ dataset is a large dataset of high-quality face images with 1024 × 1024 resolution with variations in age, gender, and glasses.}, author = {Tero Karras and Samuli Laine and Timo Aila}, doi = {10.57702/ea8crd2x}, institution = {No Organization}, keyword = {'FFHQ', 'Face Forgery Detection', 'Image Dataset', 'diffusion model', 'face recognition', 'high-quality images', 'high-resolution images', 'text-to-image'}, month = {dec}, publisher = {TIB}, title = {FFHQ Dataset}, url = {https://service.tib.eu/ldmservice/dataset/ffhq-dataset}, year = {2024} }