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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    UnidentifiedImageError
Message:      cannot identify image file <_io.BytesIO object at 0x7f838d3f4310>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2240, in __iter__
                  example = _apply_feature_types_on_example(
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2159, in _apply_feature_types_on_example
                  decoded_example = features.decode_example(encoded_example, token_per_repo_id=token_per_repo_id)
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2204, in decode_example
                  column_name: decode_nested_example(feature, value, token_per_repo_id=token_per_repo_id)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1508, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/image.py", line 190, in decode_example
                  image = PIL.Image.open(bytes_)
                          ^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/PIL/Image.py", line 3498, in open
                  raise UnidentifiedImageError(msg)
              PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7f838d3f4310>

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Zero-Shot Depth from Defocus

Yiming Zuo* · Hongyu Wen* · Venkat Subramanian* · Patrick Chen · Karhan Kayan · Mario Bijelic · Felix Heide · Jia Deng

(*Equal Contribution)

Princeton Vision & Learning Lab (PVL)

Paper · Project

FOSSA Teaser


Overview

We captured 100 focus stacks in 100 unique scenes, covering various indoor and outdoor locations, such as classrooms, hallways, robotics labs, offices, kitchens, and gardens, providing a diverse scene coverage.

For each focus stack, we capture images at 9 focus distances, ranging from 0.82 to 8.10m. We capture at 5 larger apertures (F1.4/2.0/2.8/4.0/5.6), and a small aperture (F16) for all-in-focus images, resulting in 6 x 9=54 images in total for each scene. This rich combination of focus distances and apertures allows us to study the sensitivity of the models' performance to each factor.

We provide a dense ground-truth depth map for each scene under the resolution of 1824 x 1216, captured with a high-accuracy Lidar.



Paper (arXiv)

ZEDD Teaser


Data Structure

ZEDD contains 100 scenes divided into validation and test sets. For each scene, the data is organized as follows:

ZEDD/
├── test/
│   ├── test_0001/
│   │   ├── focus_stack/
│   │   │   ├── img_run_1_motor_6D3E_aperture_F1.4.jpg
│   │   │   ├── img_run_1_motor_6D3E_aperture_F2.0.jpg
│   │   │   └── ...
│   │   └── gt/
│   │       └── K.txt
│   └── ...
└── val/
    ├── val_0001/
    │   ├── focus_stack/
    │   │   ├── img_run_1_motor_6D3E_aperture_F1.4.jpg
    │   │   ├── img_run_1_motor_6D3E_aperture_F2.0.jpg
    │   │   └── ...
    │   └── gt/
    │       ├── depth_vis.jpg
    │       ├── depth.npy
    │       ├── K.txt
    │       └── overlay.jpg
    └── ...

Citation

@article{ZeroShotDepthFromDefocus,
  author  = {Zuo, Yiming and Wen, Hongyu and Subramanian, Venkat and Chen, Patrick and Kayan, Karhan and Bijelic, Mario and Heide, Felix and Deng, Jia},
  title   = {Zero-Shot Depth from Defocus},
  journal = {arXiv preprint arXiv:2603.26658},
  year    = {2026},
  url     = {https://arxiv.org/abs/2603.26658}
}
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