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✨CityRAG: Stepping Into a City via Spatially-Grounded Video Generation
📝 Summary:
CityRAG generates long-term, physically grounded video sequences that maintain environmental consistency and support complex navigation through real-world geography using geo-registered data as contex...
🔹 Publication Date: Published on Apr 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.19741
• PDF: https://arxiv.org/pdf/2604.19741
• Project Page: https://cityrag.github.io/
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#VideoGeneration #GenerativeAI #SpatialAI #ComputerVision #UrbanSimulation
📝 Summary:
CityRAG generates long-term, physically grounded video sequences that maintain environmental consistency and support complex navigation through real-world geography using geo-registered data as contex...
🔹 Publication Date: Published on Apr 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.19741
• PDF: https://arxiv.org/pdf/2604.19741
• Project Page: https://cityrag.github.io/
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#VideoGeneration #GenerativeAI #SpatialAI #ComputerVision #UrbanSimulation
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