Louischong/Objaverse-OA
Github Project Page Paper Objaverse-OA Dataset Dataset Introduction Humans intuitively perceive object shape and orientation from a single image, guided by strong priors about canonical poses. However, existing 3D generative models often produce misaligned results due to inconsistent training data, limiting their usability in downstream tasks. To address this gap, we introduce the task of orientation-aligned 3D object generation: producing 3D objects from… See the full description on the dataset page: https://huggingface.co/datasets/Louischong/Objaverse-OA.
| Author / organization | Louischong |
|---|---|
| License (as declared) | odc-by |
| Downloads | 129 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 22 November 2025 |
| Last updated at source | 28 December 2025 |
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- 16 Oct 2026 Description: Github Project Page Paper Objaverse-OA Dataset Dataset Introduction Humans intuitively perceive object shape and orientation from a single image, guided by strong priors about canonical poses. However, existing 3D generative models often pr → Github Project Page Paper Objaverse-OA Dataset Dataset Introduction Humans intuitively perceive object shape and orientation from a single image, guided by strong priors about canonical poses. However, existing 3D generative models often pr
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