Overview of the proposed Traffic World Model (TWM) (IMAGE)
Caption
Starting from textual traffic descriptions and structural road priors, the framework first synthesizes a controllable roadside-view image through a conditional Diffusion Transformer (cDiT) backbone. The generated image then serves as a shared scene anchor for subsequent multimodal generation tasks, including traffic-video synthesis, safety-critical event generation, depth prediction, and LiDAR generation.
Credit
Communications in Transportation Research
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License
CC BY-NC-ND