iPer (Impersonator)
Introduced by Liu et al. in Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
iPer is a new dataset, with diverse styles of clothes in videos, for the evaluation of human motion imitation, appearance transfer, and novel view synthesis. There are 30 subjects of different conditions of shape, height, and gender. Each subject wears different clothes and performs an A-pose video and a video with random actions. There are 103 clothes in total. The whole dataset contains 206 video sequences with 241,564 frames.
Source: Liquid Warping GAN with Attention: A Unified Framework for Human Image SynthesisPapers
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