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yutofurutani/WildCity

WildCity Yuto Furutani*, Takashi Otonari*, Kaede Shiohara*, Toshihiko Yamasaki The University of Tokyo. *Co-first authors. Overview Our WildCity dataset is designed to train feed-forward 3DGS models for 3D reconstruction from unconstrained photo collections. The dataset comprises multi-view, multi-lighting images covering 200 scenes, 170 HDRI maps, and diverse transient objects. Dataset Structure license.csv # Attribution… See the full description on the dataset page: https://huggingface.co/datasets/yutofurutani/WildCity.

Author / organizationyutofurutani
License (as declared)other
Downloads1.9K (as reported by Hugging Face)
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Created10 June 2026
Last updated at source11 June 2026
3dgs3d-reconstructionnovel-view-synthesis
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