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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 2199 followers
Created: 2025-07-26 00:51:43 UTC

X. TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation

🔑 Keywords: TTS-VAR, test-time scaling, visual auto-regressive models, clustering, resampling

💡 Category: Generative Models

🌟 Research Objective:
   - To introduce TTS-VAR, a framework designed to improve visual auto-regressive models' generation quality by applying test-time scaling.

🛠️ Research Methods:
   - Utilization of an adaptive descending batch size schedule and integration of clustering and resampling techniques to enhance model efficiency and performance.

💬 Research Conclusions:
   - TTS-VAR achieves a notable improvement in generation quality, demonstrated by an XXX% increase in GenEval score, highlighting the impact of early-stage structural features and varying resampling efficacy across scales.

👉 Paper link:

![](https://pbs.twimg.com/media/Gwvqdj9aoAAs9wx.png)

XX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1948909059303960625/c:line.svg)

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

[Post Link](https://x.com/AINativeF/status/1948909059303960625)

[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 2199 followers Created: 2025-07-26 00:51:43 UTC

X. TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation

🔑 Keywords: TTS-VAR, test-time scaling, visual auto-regressive models, clustering, resampling

💡 Category: Generative Models

🌟 Research Objective:

  • To introduce TTS-VAR, a framework designed to improve visual auto-regressive models' generation quality by applying test-time scaling.

🛠️ Research Methods:

  • Utilization of an adaptive descending batch size schedule and integration of clustering and resampling techniques to enhance model efficiency and performance.

💬 Research Conclusions:

  • TTS-VAR achieves a notable improvement in generation quality, demonstrated by an XXX% increase in GenEval score, highlighting the impact of early-stage structural features and varying resampling efficacy across scales.

👉 Paper link:

XX engagements

Engagements Line Chart

Related Topics generative coins ai

Post Link

post/tweet::1948909059303960625
/post/tweet::1948909059303960625