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Guandao Yang

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@GuandaoYang

Bringing generative AI to the physical world.
Palo Alto guandaoyang.com Joined March 2015
945 Following 1.2K Followers 96 Posts

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Guandao Yang Verified account @GuandaoYang
MeshFlow brings high-quality mesh with interactive speed. It's time to make mesh generation flow!

Arxiv: arxiv.org/abs/2606.23489
Web: qiisun.github.io/MeshFlow/
Code: github.com/qiisun/MeshFlow
arxiv.org MeshFlow: Mesh Generation with Equivariant Flow Matching Meshes are among the most common 3D scene representations, but directly generating meshes is challenging because the representation contains important symmetries, including permutation invariance...
Qi Sun @qisun01 Jun 23
Excited to share MeshFlow — a new approach that can generate meshes with a fraction of seconds, while achieving state-of-the-art generation quality.
Secret sources? Instead of autoregressive models, use equivariant flow-matching!
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Guandao Yang Verified account @GuandaoYang
Resist the flattening!
Ian Huang Verified account @ianyhuang Sep 23
Everyone's asking what humans are still worth in the age of AI. To me, it's the part of us that AI keeps flattening - our individuality.

Yet I feel I'm constantly being sold a choice: extend myself with AI, or preserving my unique thoughts, tastes and opinions. What if I didn't have to choose?

There is a future where we get the magic of feeling totally understood by the technology that serves us, while staying ourselves. In this future, the model of us -- our "second selves" -- must be owned by us.

That's the future we want to live in, and one we're building at Aesona.

The open, top-of-mind questions right now:
1. What's the right representation of a person and how should it evolve over time?
2. How do we measure individual-level alignment? How should you interact with the model to close gaps in what it doesn't yet know about you?
3. What should your second self refuse to say about you? How should the user create the right "disclosure policy" and how should it be enforced?

If this sounds like a future you want to build, my DMs are open!
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Guandao Yang Verified account @GuandaoYang
Come to our session on Tuesday morning to learn more about how to make mesh generation fast and good!
Qi Sun @qisun01 Jul 21
Want a super-fast mesh generation model? ⚡ Don’t miss our MeshFlow talk!

📅 Tuesday
🕙 3D Generation session, starting around 10:45 AM
📍 Room 403B, LA Convention Center

See you there! #SIGGRAPH #3DGeneration #MeshGeneration #SIGGRAPH2026 #DiffusionModel
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Guandao Yang Verified account @GuandaoYang
There are three reasons why it's called "Functional Attention."

1⃣We make functions, instead of tokens, as first-class citizens for attention module.

2⃣It was inspired by the geometry processing concepts of functional maps.

3⃣It works!
Simon Weber @SimWeberTUM Jun 16
What if attention wasn't about matching tokens, but operating in function space?

Glad to share our #ICML2026 paper:
📄 Functional Attention: From Pairwise Affinities to Functional Correspondences

w/ @Jiefang_Xiao @GaoMaolin @stevenygd Daniel Cremers
📄 xjffff.github.io/funcattn/
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