CosmosAlign adapts Cosmos3-Nano with two-stage LoRA, medoid sample selection, and motion-adaptive blending, achieving first place (76.49) on the AI City Challenge 2026 Track 5 traffic video forecasting benchmark.
In: 2025 IEEE/CVF International Conference on Computer Vision (ICCV)
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CosmosAlign: Adapting a World Foundation Model for Generative Traffic Video Forecasting
CosmosAlign adapts Cosmos3-Nano with two-stage LoRA, medoid sample selection, and motion-adaptive blending, achieving first place (76.49) on the AI City Challenge 2026 Track 5 traffic video forecasting benchmark.