Datasets › iPer
iPer (Impersonator)
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 Synthesis
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 5 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- iPer
1 variant name, as the archive lists them.
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