AgeSynth

AgeSynth is a fully synthetic database with aged samples as part of the release for the paper "Identity-Preserving Aging and De-Aging of Faces in the StyleGAN Latent Space" published at the IJCB 2025 conference. The provided aged latent vectors were generated with the official NVIDIA StyleGAN2 FFHQ 1024×1024 model. The dataset contains 20 000 fully synthetic facial identities with 10 additional variations each, edited along a continuous age axis so that younger or older versions can be synthesized. The data are split into two equal subsets created with different face-recognition backbones (IResNet-50 and EdgeFace-S). Every subset includes reference latents and embeddings, the aged and de-aged latents, and the parameters used to generate the references with the Synthetics-Disco package (https://www.idiap.ch/paper/synthetics-disco/). These latents can be passed directly to the StyleGAN2 generator to obtain 1024×1024 images or adapted to downstream pipelines, and all supporting code and documentation are available on the Agesynth project page at https://www.idiap.ch/paper/agesynth/. The dataset is released for non-commercial research and education under a CC BY-NC-SA 4.0 licence.