GraphCanon updated 3w · GitHub synced 3w
Decision brief
DL3DV-10K is a 3D Vision dataset for deep learning research in novel view synthesis using PyTorch.
Good fit when
- Use when working on projects focused specifically on 3D vision, reconstruction, and novel view synthesis where you require large-scale datasets.
- Suitable if your project benefits from the terms of use that are tailored for DL3DV-10K, facilitating research in deep learning with PyTorch.
Avoid when
- Not recommended if your project or methodology does not align with the specific Terms of Use provided by DL3DV-10K.
- Avoid using this dataset if you are working on a framework other than PyTorch, as it's optimized for and primarily documented within that context.
- Hosting:
- unknown - DL3DV-10K hosts its 3D vision dataset for research purposes primarily.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (171d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/DL3DV-10K/DatasetSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
DL3DV-10K is a dataset released under specific terms of use for research in 3D models, reconstruction and novel view synthesis using deep learning techniques with PyTorch.
Capability facts
- Languages
- html
Source: github.language · Jul 31, 2026
Categories
Tags
README
License
DL3DV-10K is released under the DL3DV-10K Terms of Use. The DL3DV-10K Terms of Use, disclaimer, and the copy of the license of the license are available in this repository.
Copyright (c) 2023
For agents
This page has a .md twin and JSON over the API.