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Yanpei Cao

@yanpei_cao • 2,275 subscribers

Chief Scientist @VastAIResearch @tripoai. Prev: Principal Researcher @TencentGlobal, Kuaishou (HKG:1024), CTO @OwliiTech (acq. by Kuaishou), @Tsinghua_Uni.

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Static 3D generation isn't enough. We need assets ready for animation. Our new #SIGGRAPH work, AniGen, takes a single image and generates the 3D shape, skeleton, and skinning weights all at once. Code is fully open-sourced! Kudos to Yihua and VAST AI Research 🧵(1/4)

Static 3D generation isn't enough. We need assets ready for animation. Our new #SIGGRAPH work, AniGen, takes a single image and generates the 3D shape, skeleton, and skinning weights all at once. Code is fully open-sourced! Kudos to Yihua and VAST AI Research 🧵(1/4)

144,829 просмотров

Thrilled to share UniRig from Tripo Tripo VAST AI Research: an AI model for rapid automatic 3D rigging. Rig diverse models—from humans, animals, to sci-fi creatures—in seconds! UniRig has the potential to streamline animation workflows with unparalleled accuracy & versatility.

Thrilled to share UniRig from Tripo Tripo VAST AI Research: an AI model for rapid automatic 3D rigging. Rig diverse models—from humans, animals, to sci-fi creatures—in seconds! UniRig has the potential to streamline animation workflows with unparalleled accuracy & versatility.

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🎉 MIDI will be presented at #CVPR2025! We’ve dropped the code + demo for everyone to play with. Now, with our MV-Adapter, you can also create textures for the generated 3D scenes. Check the code and demo below!

🎉 MIDI will be presented at #CVPR2025! We’ve dropped the code + demo for everyone to play with. Now, with our MV-Adapter, you can also create textures for the generated 3D scenes. Check the code and demo below!

45,629 просмотров

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3D generation often treats objects as single, monolithic shapes. Our new research, OmniPart, takes a different path: generating objects as assemblies of parts for structural coherence and fine-grained control. And it has been accepted to SIGGRAPH Asia 2025 🎉

3D generation often treats objects as single, monolithic shapes. Our new research, OmniPart, takes a different path: generating objects as assemblies of parts for structural coherence and fine-grained control. And it has been accepted to SIGGRAPH Asia 2025 🎉

222,302 просмотров • 9 месяцев назад

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.

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.

65,243 просмотров • 4 месяцев назад

Big news from Tripo! We’re open-sourcing TripoSG & TripoSF—next-level 3D GenAI models for high-fidelity 3D generation. Code, weights, demos—all yours now. Let’s shape the future of 3D AI together! Bonus: More open-source goodies drop next month!

Big news from Tripo! We’re open-sourcing TripoSG & TripoSF—next-level 3D GenAI models for high-fidelity 3D generation. Code, weights, demos—all yours now. Let’s shape the future of 3D AI together! Bonus: More open-source goodies drop next month!

132,914 просмотров • 1 год назад

HoloPart is here, and it’s open-source! Our generative model splits 3D shapes into complete parts, even the hidden bits. Unlock seamless editing, animation, and creation. 🎨

HoloPart is here, and it’s open-source! Our generative model splits 3D shapes into complete parts, even the hidden bits. Unlock seamless editing, animation, and creation. 🎨

74,330 просмотров • 1 год назад

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