PoI
Datasets
All datasets matching “PoI”pointodysseyFeb 21: updated to v1.2. Please see https://github.com/y-zheng18/point_odyssey/tree/main for release notes.
PointWorld-DROID
PointWorld-DROID
Dataset Description:
PointWorld-DROID is the packaged DROID-derived annotation release used for training and evaluating the 3D world model, PointWorld. It contains precomputed 3D annotations derived from the official DROID dataset, including episode-level 3D point trajectories, optimized camera metadata, optional downsampled depth, and the released expert confidence artifact used by the PointWorld DROID evaluation pipeline.
This dataset is for research… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PointWorld-DROID.PointCloudCorruptionconcerto_scannet_compressedpointcalib-corpus
PointCalib corpus — 1,051,756 frames, one format
Nine source datasets normalised into a single streamable WebDataset, plus the frozen
evaluation protocol and checkpoints behind our reported numbers. The point is not
to mirror upstream archives (TartanAir, Hypersim are already on the Hub) but to
remove the nine-decoder / nine-resolution / nine-depth-convention tax: one format,
one depth convention, streamable.
Contents
split prefix
frames
shards
source… See the full description on the dataset page: https://huggingface.co/datasets/ChenmingWu/pointcalib-corpus.Point-PRC
Datasets
We conduct experiments on three new 3D domain generalization (3DDG) benchmarks proposed by us, as introduced in the next section.
base-to-new class generalization (base2new)
cross-dataset generalization (xset)
few-shot generalization (fewshot)
The structure of these benchmarks should be organized as follows.
/path/to/Point-PRC
|----data # placed in the same level of `trainers`, `weights`, etc.
|----base2new
|----modelnet40… See the full description on the dataset page: https://huggingface.co/datasets/auniquesun/Point-PRC.
