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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset

Authors: Gsaxner, Christina; van Meegdenburg, Timo; Luijten, Gijs; Vu, Viet Duc; Puladi, Behrus; Egger, Jan;

DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset

Abstract

Dataset for the DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Challenge More information about the challenge and challenge registration can be found on the challenge platform! Timeline: 8th January 2024: First subset of training & validation data available (scenes 0000-0009). 22nd January 2024: Second subset of training & validation data available (scenes 0010-0049). 26th January 2024: Full training & validation data available (scenes 0050-0100). Description: The dataset was created using Unreal Engine 5.1, Unreal MetaHumans, 3D-COSI surgical instruments, POV-Surgery grasp generation and EasySynth. Each scene contains: "color": RGB input images "gt": RGB ground truth images "mask": Mask defining the area to be inpainted. White -> Background, Black -> Inpainting area "CameraPoses.csv": Camera poses "CameraRig.json": Camera intrinsics To cite the dataset, please use @online{gsaxner_2024_10570773, author = {Gsaxner, Christina and van Meegdenburg, Timo and Luijten, Gijs and Vu, Viet Duc and Puladi, Behrus and Egger, Jan}, title = {{DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset}}, month = jan, year = 2024, publisher = {Zenodo}, doi = {10.5281/zenodo.10570773}, url = {https://doi.org/10.5281/zenodo.10570773} }

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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