4 papers
TerraDiT-: Unified Spatial Control for Satellite Image Synthesis with Any Geospatial Primitive
Brian Wei, Srikumar Sastry, Daniel Cher +2
Generative models have achieved remarkable progress, yet applying them to satellite imagery remains challenging. Unlike natural imagery, satellite scenes are structured by spatiall…
TerraDiT: Point-Conditioned Diffusion Transformer for Satellite Image Synthesis
Srikumar Sastry, Dan Cher, Brian Wei +4
We introduce TerraDiT, a diffusion transformer designed for text-to-satellite image generation with point-based control. Existing controlled satellite image generative models often…
Tessellating The Earth
Daniel Cher, Hamza Iqbal, Eric Xing +2
Geolocation encoders, which map geographic coordinates to learned representations, are emerging as an effective means of capturing visual and non-visual characteristics from a lati…
VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics
Daniel Cher, Brian Wei, Srikumar Sastry +1
We introduce VectorSynth, a diffusion-based framework for pixel-accurate satellite image synthesis conditioned on polygonal geographic annotations with semantic attributes. Unlike…