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@Cornell-VAILab

Cornell-VAILab

README.md

VAILab @ Cornell

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.

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  1. Raster2Seq Raster2Seq Public

    Raster2Seq: Polygon Sequence Generation for Floorplan Reconstruction (SIGGRAPH 2026)

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  2. SceneAligner SceneAligner Public

    [NeurIPS'26] Official PyTorch Implementation of "SceneAligner: 3D-Grounded Floorplan Localization in the Wild"

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  3. PeopleComposer PeopleComposer Public

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  4. Ext-3DFMs Ext-3DFMs Public

    Official repo for Emergent Extreme-View Geometry in 3D Foundation Models

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  6. ArchWorld ArchWorld Public

    [NeurIPS'26] Official Source Code for "Towards Reconstructing Geographically Diverse Architecture with 3D Foundation Models"

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