ULB Bunny dataset

ULB Bunny Dataset Description The ULB Bunny Dataset is an 80-view 360° multiview Blender rendering of a metallic Stanford Bunny placed in a Lambertian scene. This dataset is intended for research on non-Lambertian surface reconstruction, Gaussian Splatting, and material-aware rendering. All views are rendered under controlled lighting to ensure consistency and reproducibility. --- Contents The dataset includes: - 80 PNG images High-resolution renders from uniformly sampled viewpoints covering a full 360°. - COLMAP reconstruction files Provided in the Gaussian Splatting–compatible format. Directory structure: -- images/ *.png (80 images) -- sparse/ -- 0/ cameras.bin images.bin points3D.bin Format Images: PNG, undistorted, one image per camera viewpoint Camera calibration: Stored in cameras.bin Camera poses: Stored in images.bin Sparse point cloud: Stored in points3D.bin The structure follows the standard COLMAP sparse model expected by most Gaussian Splatting implementations. Intended Use This dataset is suitable for: Evaluating non-Lambertian surface reconstruction Testing 3D Gaussian Splatting and material-aware Gaussian variants Benchmarking differentiable rendering algorithms Studying view-dependent effects under controlled conditions Citation If you use this dataset, please cite: Dubar, E., Dury, S., Bonatto, D., & Lafruit, G. (2025). ULB Bunny Dataset. Zenodo. https://doi.org/10.5281/zenodo.17750680 @dataset{ulb_bunny_dataset_2025, author = {Eva Dubar and Sarah Dury and Daniele Bonatto and Gauthier Lafruit}, title = {ULB Bunny Dataset}, year = {2025}, publisher = {Zenodo}, doi = {10.5281/zenodo.17750680}, url = {https://doi.org/10.5281/zenodo.17750680}}