85 datasets found

The dataset used for 2D and 3D reconstruction of parametric curves and surfaces.

A dataset for training a Neural Sparse Voxel Fields (NSVF) model, containing 3D images of objects.

The dataset used in the paper is a combination of RGB-D images and their corresponding 2D semantic segmentations.

The dataset used for training and evaluation of the Fast-SNARF algorithm.

A dataset for optical flow evaluation, including a naturalistic open source movie.

The dataset used in this paper is a subset of the ShapeNet dataset, which is used for training and testing 3D reconstruction models.

The Holistically-attracted wireframe parsing dataset is used in the paper.

The ABC dataset is a collection of one million high-quality CAD models of mechanical parts with explicitly parameterised curves, surfaces and various geometric features.

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...

The iGibson dataset is a large-scale indoor scene dataset, consisting of 572 buildings, 1400 floors, and 211,000 square meters of indoor space.

RTMV dataset is a dataset of 3D reconstructed scenes.

EscherNet is a multi-view conditioned diffusion model designed for scalable view synthesis. It leverages Stable Diffusion's 2D architecture empowered by the innovative Camera...

The Point-NeRF dataset is a benchmark for point cloud-based 3D reconstruction and rendering tasks.

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 RGB2Hands dataset contains RGB videos of interacting two hands without shape annotations.

The dataset used in the paper is 3DChairs, which is a 3D chair dataset.

The dataset used in this paper for 3D plant geometry reconstruction in field conditions.

NeRF dataset for large-scale urban scene reconstruction

The GL3D dataset is a large-scale dataset for 3D reconstruction from images. It contains 181,280 high-resolution images in 1073 different scenes, along with the image matches,...

The ObMan dataset is a large synthetic dataset produced by rendering hand meshes with selected objects from ShapeNet.