11 datasets found

The VolSDF dataset is used to evaluate the proposed VolSDF method for 3D scene reconstruction.

The SUNCG dataset is a large dataset of 3D indoor scenes with missing objects. The dataset is used to evaluate the performance of scene augmentation and context-based object...

Make3D: Learning 3D scene structure from a single still image

ETH3D is a small real-world grayscale dataset with both indoor and outdoor scenes. It contains 27 labeled stereo image pairs for training and 20 stereo pairs for testing.

The NSVF-Synthetic dataset is a synthetic dataset for neural sparse voxel fields.

The Scan2CAD dataset contains object-level human-generated annotations. The annotations include category label, segmentation, a similar CAD model in ShapeNet, and the...

The dataset used for training and testing the proposed RGBD-based obstacle avoidance system for visually impaired people.

The Replica dataset provides real-world scenes which we use to evaluate and compare our approach with related work. The dataset consists of high quality 3D reconstructions of 5...

Shapenet is a large-scale synthesis 3D object dataset, where we follow [9] to use the official test splits of chair, car, and motorbike categories for evaluation since they...

The Replica dataset contains 18 various highly photo-realistic indoor environments. It provides dense-mesh, high-resolution RGBD images and a large range of instance annotations...

NeRF [33] has demonstrated amazing ability to synthesize images of 3D scenes from novel views. However, they rely upon specialized volumetric rendering algorithms based on ray...