Tencent AIPD & Tsinghua University · 3D Generation
PrimitiveAnything
An auto-regressive transformer framework that decomposes complex 3D shapes into primitive assemblies by learning from large-scale human-crafted abstractions, using an ambiguity-free parameterization scheme to represent multiple primitive types uniformly. Demonstrates superior generalization across diverse shape categories while maintaining alignment with human perception.
Open the source ↗Similar 3D & Spatial releases
- Idol
Speridlabs (Alejandro Cañada, Chema Garabito) · Image-to-3D splats · Week 45, 2026
- JST-2
Viggle AI · World Model · Week 44, 2026
- UniForge3D
Peking University, Math Magic and HKUST · Image-to-3D · Week 43, 2026
- GenIA
Meta Reality Labs and University of Tübingen · Input-Aligned 3D Reconstruction · Week 42, 2026
- InSpatio-World 1.5
InSpatio · Explorable World Model · Week 41, 2026
- FIRE3D
UIUC & Cornell · Minute-Scale Reconstruction · Week 37, 2026
Published by Quanta AI Labs, an AI agency in India. Browse every week in AI News Weekly.