Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset
Paper • 2603.04745 • Published • 1
Dataset Viewer
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: ValueError
Message: Invalid string class label FLIR-IISR@cf93f4281ca7871f7450c095de4a79232ff1703a
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 2674, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2208, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2241, in _iter_arrow
pa_table = cast_table_to_features(pa_table, self.features)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2197, in cast_table_to_features
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1995, in cast_array_to_feature
return feature.cast_storage(array)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1172, in cast_storage
[self._strval2int(label) if label is not None else None for label in storage.to_pylist()]
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1101, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label FLIR-IISR@cf93f4281ca7871f7450c095de4a79232ff1703aNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
FLIR-IISR Dataset
This repository contains the FLIR-IISR dataset, a real-world infrared image super-resolution benchmark introduced in the paper Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset.
Dataset Details
FLIR-IISR is a real-world Infrared Image Super-Resolution (IISR) dataset consisting of 1,457 paired low-resolution (LR) and high-resolution (HR) infrared images. The data was acquired via automated focus variation and motion-induced blur to capture coupled optical and sensing degradations found in real-world conditions.
Composition
- Total number of image pairs: 1,457
- Image size: 1024 × 768
- Degradation labels:
- Optical blur (1,305 pairs)
- Motion blur (152 pairs)
Scene Categories (12 categories)
The dataset covers a wide variety of scenes:
- Building: 706
- Complex scene: 401
- Person: 309
- Regular object: 248
- Car: 234
- Statue: 157
- Road: 132
- Plane: 54
- Motorcycle: 27
- Bicycle: 22
- Tricycle: 13
- Bus: 5
Citation
@misc{zou2026realworldinfraredimagesuperresolution,
title={Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset},
author={Yang Zou and Jun Ma and Zhidong Jiao and Xingyuan Li and Zhiying Jiang and Jinyuan Liu},
year={2026},
eprint={2603.04745},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2603.04745},
}
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