
Yanpei Cao
@yanpei_cao • 2,265 subscribers
Chief Scientist @VastAIResearch @tripoai. Prev: Principal Researcher @TencentGlobal, Kuaishou (HKG:1024), CTO @OwliiTech (acq. by Kuaishou), @Tsinghua_Uni.
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Generative 3D has been stuck in a representational compromise. When you serialize spatial data to fit standard architectures, you force a unidirectional causal bias. It fundamentally breaks the symmetry of 3D geometry and limits how the model understands global context. With Tripo P1.0, we stepped back to fix the representation. Instead of flattening 3D into sequences, P1.0 operates entirely within a native spatial probability space. It reasons about the entire structure at once. That’s why the topology actually makes sense. We aren't running a post-process remesher to clean up artifacts. When you directly model the structured surface manifold, clean edge flows and structural coherence naturally emerge from the noise. This is what happens when the architecture finally respects the medium. And we are doing it in 2 seconds.
Yanpei Cao65,085 views • 3 months ago
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