A Dataset for Comparative Evaluation of Geometric Accuracy in NeRF and Gaussian Splatting

This dataset was used in an evaluation pipeline for neural rendering methods that focuses on geometric accuracy, along with a benchmark comprising 19 diverse scenes containing objects from YCB dataset. Our approach enables a systematic assessment of reconstruction methods in terms of surface and shape fidelity, complementing traditional visual metrics.