pith:LG6XRG7D
TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models
TripoSG generates high-fidelity 3D meshes from images via a large-scale rectified flow transformer trained on two million samples.
arxiv:2502.06608 v3 · 2025-02-10 · cs.CV · cs.AI
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Claims
TripoSG achieves state-of-the-art performance in 3D shape generation. The resulting 3D shapes exhibit enhanced detail due to high-resolution capabilities and demonstrate exceptional fidelity to input images with strong generalization across diverse image styles and contents.
The assumption that the custom data processing pipeline produces sufficiently high-quality, diverse, and representative 3D samples at the claimed scale of 2 million without introducing biases or artifacts that would limit generalization or fidelity in real-world use.
TripoSG generates high-fidelity 3D meshes from input images via a large-scale rectified flow transformer and hybrid-trained 3D VAE on a custom 2-million-sample dataset, claiming state-of-the-art fidelity and generalization.
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| First computed | 2026-05-17T23:38:46.470101Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
59bd789be302e1e14333f263aa8b97eab554a7fea072cc8d62dc0236713469b6
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· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/LG6XRG7DALQ6CQZT6JR2VC4X5K \
| jq -c '.canonical_record' \
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Canonical record JSON
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