zenodoopen
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>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4