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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 03:00:11 UTC

X. Yume: An Interactive World Generation Model

🔑 Keywords: Masked Video Diffusion Transformer, AI-generated, model acceleration, Anti-Artifact Mechanism, Time Travel Sampling

💡 Category: Generative Models

🌟 Research Objective:
   - The project aims to create an interactive, realistic, and dynamic video world from images, text, or videos, allowing users to explore and control it via peripheral devices or neural signals.

🛠️ Research Methods:
   - A framework comprising camera motion quantization, a video generation architecture, an advanced sampler, and model acceleration was introduced.
   - Utilization of Masked Video Diffusion Transformer with a memory module for infinite video generation.
   - Anti-Artifact Mechanism and Time Travel Sampling using Stochastic Differential Equations to enhance visual quality and control.
   - Model acceleration through adversarial distillation and caching mechanisms.

💬 Research Conclusions:
   - The method achieves impressive results in diverse scenes and applications and the data, code, and models are made publicly available for ongoing monthly updates.

👉 Paper link:


XX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1948579003050152001/c:line.svg)

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

[Post Link](https://x.com/AINativeF/status/1948579003050152001)