1 to 10 of 3,711 Results
Aug 25, 2026 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences"
Feyer, Stefan Paul, 2025, "Source Code and Video: 2D versus 2.5D Layer Arrangement for Animal Behaviour Multiplex Networks", https://doi.org/10.18419/DARUS-5503, DaRUS, V2
This Data contains the Unity Program, especially written for the experiment published in the paper: 2D versus 2.5D Layer Arrangement for Animal Behaviour Multiplex Networks. It contains a network from an open-access dataset, which can be viewed under the study conditions. Furthermore, a video displays in first person the view through a VR HMD on th... |
Aug 25, 2026 -
Source Code and Video: 2D versus 2.5D Layer Arrangement for Animal Behaviour Multiplex Networks
Adobe PDF - 65.9 KB -
MD5: ac83d5cf8016f66ad99f7c11ddca3ece
The full acknowledgements, which are shortened in the paper. |
Jul 30, 2026 - Associated Research
Jenadeleh, Mohsen; Sneyers, Jon; Ascenso, João, 2026, "JPEG AIC2026: Fine-grained image compression dataset", https://doi.org/10.18419/DARUS-6156, DaRUS, V2, UNF:6:XijMAc83sLBGJd3690d0/g== [fileUNF]
Recent advances in conventional and learning-based image coding have increased the demand for benchmark datasets that support fine-grained assessment of compressed image quality, particularly for learning-based image compression methods. The data in this dataset represent Assessment of Image Coding 2026 (AIC2026), a large-scale dataset for high-fid... |
Jul 30, 2026 -
JPEG AIC2026: Fine-grained image compression dataset
Tabular Data - 11.1 MB - 80 Variables, 9618 Observations - UNF:6:tFuPaFP2M33u7cGl7+pkjA==
metrics_cropped.csv: CSV file containing objective IQA scores computed on the (840 \times 944) evaluation stimuli. For category-1 and category-2 sources, these correspond to the full reconstructed images; for category-3 sources, they correspond to the selected (840 \times 944) crops used in the subjective experiments. |
Jul 30, 2026 -
JPEG AIC2026: Fine-grained image compression dataset
Tabular Data - 11.0 MB - 80 Variables, 9618 Observations - UNF:6:iVXIHYYc6Nk0VStrjbnFHQ==
metrics_fullres.tab: Tab-separated file containing objective IQA scores computed on the full-resolution reconstructed images |
Jul 30, 2026 -
JPEG AIC2026: Fine-grained image compression dataset
Markdown Text - 6.1 KB -
MD5: 340f24a902c9bd4c3a134d3f3d93680f
README.md: Markdown file providing an overview of the AIC2026 dataset, including dataset structure, file naming conventions, codec acronyms, accompanying metadata files, citation information, and licensing terms. |
Jul 1, 2026 -
JPEG AIC2026: Fine-grained image compression dataset
ZIP Archive - 2.2 GB -
MD5: ae0baa080dc4e03896bda703f7218e5e
Compressed bitstreams for all base codecs (AVIF, J2K, JAI, JPG, JXL) and all distortion levels. |
Jul 1, 2026 -
JPEG AIC2026: Fine-grained image compression dataset
ZIP Archive - 13.6 GB -
MD5: f84daf630afeb40e7ab93542fd917585
Full dataset (distorted images + reference sources) losslessly re-encoded as JPEG XL. |
Jul 1, 2026 -
JPEG AIC2026: Fine-grained image compression dataset
ZIP Archive - 21.4 GB -
MD5: 6ced5048acc3776d5c483ed28381d523
AIC2026_complete_dataset.zip: ZIP archive containing the AIC2026 image data, including the full resolution 70 pristine source images and 9,618 distorted versions generated by the 17 compression codecs / codec configurations. |
Jul 1, 2026 -
JPEG AIC2026: Fine-grained image compression dataset
ZIP Archive - 5.5 GB -
MD5: 0dc6328f5dbd8aa8d5b75896a561aedc
Cropped distorted images (840x944) and 70 reference crops, one per source, losslessly re-encoded as JPEG XL. JPEG XL version of AIC2026-dataset-cropped.zip. |
