Datasets › Tai-Chi-HD

Tai-Chi-HD

Introduced by Aliaksandr Siarohin et al. in First Order Motion Model for Image Animation29 Feb 2020 archive 2025-07-28

Thai-Chi-HD is a high resolution dataset which can be used as reference benchmark for evaluating frameworks for image animation and video generation. It consists of cropped videos of full human bodies performing Tai Chi actions.

Image source: https://papers.nips.cc/paper/2019/file/31c0b36aef265d9221af80872ceb62f9-Paper.pdf

Benchmarks archive 2025-07-28

All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 9. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Motion Representations for Articulated Animation 2 4 22 Apr 2021 ran 2 of 6 samples (4 unverified; 5 pointer-only for licence)
First Order Motion Model for Image Animation 3 1 29 Feb 2020 ran 2 of 10 samples (8 unverified)

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Tai-Chi-HD (256)
  • Tai-Chi-HD (512)

2 variant names, as the archive lists them.

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