7 datasets found

A large cross-age face dataset with age and gender annotations to advance the development of age-invariant face recognition and face age synthesis.

A large cross-age face dataset with age and gender annotations to advance the development of age-invariant face recognition and face age synthesis.

A novel volumetric prior for faces that enables the synthesis of ultra high-resolution novel views of subjects that are not part of the prior’s training distribution.

Face frontalization provides an effective and efficient way for face data augmentation and further improves the face recognition performance in extreme pose scenario.

The FFHQ-Aging dataset is a facial aging dataset that contains images of faces from the FFHQ dataset, labeled with age, gender, and semantic segmentation.

The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs...

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...