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ShareScore release 0.9.0
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3 results for “neural rendering”
Neural Puppeteer: Keypoint-Based Neural Rendering of Dynamic Shapes (Dataset)
<p>This data entry contains the <strong>synthetic data </strong>from<strong> </strong>the<strong> <a href="https://urs-waldmann.github.io/NePu/docs/nepu_paper.pdf">Neural Puppeteer ACCV 2022 paper</a></strong>.</p> <p>This data entry contains a public release of the synthetic data from the Neural Puppeteer paper. The data contains synthetic cow, giraffe, human and pigeon data. We provide depth maps, RGB images, silhouettes and 3D keypoints. We also provide the camera parameters of the 24 camera views (56 in case of pigeons). The data was rendered in Blender by Ole Johannsen.</p>
READ: Large-Scale Neural Scene Rendering for \\ Autonomous Driving
<p>With the development of advanced driver assistance systems~(ADAS) and autonomous vehicles, conducting experiments in various scenarios becomes an urgent need. Although having been capable of synthesizing photo-realistic street scenes, conventional image-to-image translation methods cannot produce coherent scenes due to the lack of 3D information. In this paper, a large-scale neural rendering method is proposed to synthesize the autonomous driving scene~(READ), which makes it possible to generate large-scale driving scenes in real time on a PC through a variety of sampling schemes. In order to effectively represent driving scenarios, we propose an ω rendering network to learn neural descriptors from sparse point clouds. Our model can not only synthesize photo-realistic driving scenes but also stitch and edit them. The promising experimental results show that our model performs well in large-scale driving scenarios.</p> <p> </p> <p>Source Code: https://github.com/JOP-Lee/READ</p>
DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.