158 datasets found

The LERF dataset is a dataset for 3D scene understanding, where the goal is to reconstruct and segment 3D scenes. The dataset is constructed by capturing 360-degree views of 9...

The YCB-Video dataset contains 92 videos of 21 objects with varying textures and sizes under cluttered indoor environments.

The LMO dataset is a subset of the LM dataset consisting of eight objects in more cluttered scenes.

The LM consists of 13 objects with approximately 1.2K images per object. We follow the settings described in [2], which uses 15% of the data for training and the rest for testing.

A dataset of patient data for evaluating the performance of the proposed method.

The dataset is used to test the performance of the machine learning model for strain estimation and frame selection in ultrasound elastography.

The dataset used in the paper is ScanNetV2, a real-world dataset for indoor scenes. It contains 1205 training scenes and 312 testing scenes, with instance-level object bounding...

The Tanks and Temples Advanced (T&T) dataset is a benchmark dataset for image-based 3D reconstruction. It contains 90% images for training and 10% images for evaluation.

Generating consistent multiple views for 3D reconstruction tasks is still a challenge to existing image-to-3D diffusion models.

The dataset used in the paper for interactive gibson benchmark.

The dataset used in the paper for detailed spatio-temporal reconstruction of eyelids.

A dataset of synthetic photorealistic images for training and testing material-aware diffusion models

The dataset used in the paper for training and testing the NeRF model.

The 3D-EPN dataset is a point cloud completion benchmark derived from the ShapeNet dataset.

The dataset used for head pose estimation and 3D neural surface reconstruction via monocular camera in situ for navigation and safe insertion into natural openings.

Simulated multiview lidar dataset for transient neural radiance fields

ARKITScenes: A diverse real-world dataset for 3D indoor scene understanding using mobile RGB-D data

PixelNeRF: Neural Radiance Fields from one or few images

SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction

fMRI-Shape dataset, a pioneering dataset specifically designed for Recon3DMind, which pairs fMRI data with 3D visuals.