MapDreamer synthesizes lane-level maps from aerial imagery via VAE latent encoding, transformer latent diffusion conditioned on aerial features, a lane cardinality module with ghost latents, and sliding-window graph aggregation, showing improved fidelity on UrbanLaneGraph data.
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MapDreamer: Aerial Imagery Conditioned Latent Diffusion for Lane-Level Map Generation
MapDreamer synthesizes lane-level maps from aerial imagery via VAE latent encoding, transformer latent diffusion conditioned on aerial features, a lane cardinality module with ghost latents, and sliding-window graph aggregation, showing improved fidelity on UrbanLaneGraph data.