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![AINativeF Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1795402815298486272.png) AI Native Foundation [@AINativeF](/creator/twitter/AINativeF) on x 2109 followers
Created: 2025-07-25 03:00:14 UTC

X. Ultra3D: Efficient and High-Fidelity 3D Generation with Part Attention

🔑 Keywords: Ultra3D, sparse voxel representations, VecSet, Part Attention, geometry-aware localized attention

💡 Category: Generative Models

🌟 Research Objective:
   - The objective is to accelerate 3D voxel generation while maintaining high quality and resolution using the Ultra3D framework.

🛠️ Research Methods:
   - Ultra3D leverages VecSet for efficient coarse object layout generation, reducing token count and accelerating voxel prediction.
   - Utilizes Part Attention for refining per-voxel latent features by implementing geometry-aware localized attention within semantically consistent regions.

💬 Research Conclusions:
   - Ultra3D achieves up to 6.7x speed-up in latent generation and supports high-resolution 3D generation at 1024 resolution, setting a new state-of-the-art in visual fidelity and user preference.

👉 Paper link:

![](https://pbs.twimg.com/media/Gwq-RFyWEAAUNd1.jpg)

XX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1948579013812719821/c:line.svg)

**Related Topics**
[generative](/topic/generative)
[voxel](/topic/voxel)
[coins ai](/topic/coins-ai)

[Post Link](https://x.com/AINativeF/status/1948579013812719821)

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

AINativeF Avatar AI Native Foundation @AINativeF on x 2109 followers Created: 2025-07-25 03:00:14 UTC

X. Ultra3D: Efficient and High-Fidelity 3D Generation with Part Attention

🔑 Keywords: Ultra3D, sparse voxel representations, VecSet, Part Attention, geometry-aware localized attention

💡 Category: Generative Models

🌟 Research Objective:

  • The objective is to accelerate 3D voxel generation while maintaining high quality and resolution using the Ultra3D framework.

🛠️ Research Methods:

  • Ultra3D leverages VecSet for efficient coarse object layout generation, reducing token count and accelerating voxel prediction.
  • Utilizes Part Attention for refining per-voxel latent features by implementing geometry-aware localized attention within semantically consistent regions.

💬 Research Conclusions:

  • Ultra3D achieves up to 6.7x speed-up in latent generation and supports high-resolution 3D generation at 1024 resolution, setting a new state-of-the-art in visual fidelity and user preference.

👉 Paper link:

XX engagements

Engagements Line Chart

Related Topics generative voxel coins ai

Post Link

post/tweet::1948579013812719821
/post/tweet::1948579013812719821