Visual Artificial Intelligence Lab (VAILab) is a research group at Cornell University, led by Hadar Averbuch-Elor. Our work aims at building artificial intelligence systems for visual data using multiple modalities, including images, language and 3D geometry.
Cornell-VAILab
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Raster2Seq
Raster2Seq PublicRaster2Seq: Polygon Sequence Generation for Floorplan Reconstruction (SIGGRAPH 2026)
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Ext-3DFMs
Ext-3DFMs PublicOfficial repo for Emergent Extreme-View Geometry in 3D Foundation Models
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Raster2Seq: Polygon Sequence Generation for Floorplan Reconstruction (SIGGRAPH 2026)
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