pandaphd/SeeU45

Overall

This is the dataset for SeeU: Seeing the Unseen World via 4D Dynamics-aware Generation.

Dataset Structure

• SeeU45_train/
  Provides the 2D frames used as model inputs during training.

• SeeU45_GT/
  Contains the full scene ground-truth frame sequences.

• SeeU45_GT/sample_frame.txt
  Specifies which frames are sampled for training. It also records:

  • the original scene/video folder names,
  • sampled frame indices,
  • total frame counts (GT length),
  • and frame numbers corresponding to SeeU45_train inputs.

Data Sources and Licensing

SeeU45 is constructed from a combination of our own captured scenes and publicly available datasets.
Due to licensing restrictions on some third-party datasets, we are not allowed to re-distribute certain videos.
As a result, the public release of SeeU45 omits 5 scenes that appear in our paper.

The publicly released scenes in SeeU45 are derived from the following sources (in compliance with their respective licenses):

• TAP-Vid
• AgiBot
• I2-2000FPS

All original copyrights of these source datasets are retained by their respective authors.

SeeU45 License

The SeeU45 dataset (including our processed frames, splits, and annotations) is released under:

license: CC BY-NC-ND 4.0 This means:

• ✅ You may use SeeU45 for non-commercial academic research.
• ✅ You must credit the SeeU paper and dataset when using it.
• ❌ You may not use SeeU45 for commercial purposes.