Viglong/OriAnyV2_Train_Render
Orient Anything V2 Dataset Project Page | Paper | GitHub Orient Anything V2 is an enhanced foundation model for unified understanding of object 3D orientation and rotation from single or paired images. This repository contains the training data (final rendering data) used for the model. Sample Usage Below is a snippet to run inference using the model and data logic, as found in the official GitHub repository: import numpy as np from PIL import Image import torch… See the full description on the dataset page: https://huggingface.co/datasets/Viglong/OriAnyV2_Train_Render.
| Author / organization | Viglong |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 144 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 28 August 2025 |
| Last updated at source | 13 January 2026 |
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144 now (+2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 16 Oct 2026 Description: Orient Anything V2 Dataset Project Page | Paper | GitHub Orient Anything V2 is an enhanced foundation model for unified understanding of object 3D orientation and rotation from single or paired images. This repository contains the training → Orient Anything V2 Dataset Project Page | Paper | GitHub Orient Anything V2 is an enhanced foundation model for unified understanding of object 3D orientation and rotation from single or paired images. This repository contains the training
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.