85 datasets found

The AIST dataset, which consists of dance videos of 30 human subjects captured from 9 cameras.

A dataset for cartoon face reconstruction from single portraits

The Flying Chairs dataset is used for training and testing the proposed method.

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 TetraTSDF model for 3D human reconstruction from a single image with a tetrahedral outer shell.

The dataset used for training the D2-Net model, consisting of 327,036 image pairs with at least 50% overlap in the sparse SfM point cloud.

3D shapes are represented as point clouds, which are unordered sets of 3D points.

Non-line-of-sight reconstruction using efficient transient rendering

3D-R2N2: A Unified Approach for Single and Multi-View 3D Object Reconstruction

Non-line-of-sight scene reconstruction using time-of-flight measurements

The McGill 3D dataset used in this paper for testing the generalization of the proposed occupancy learning method.

A system for 3D reconstruction and novel view synthesis from an arbitrary number of unposed images.

Scannet: Richly-annotated 3D reconstructions of indoor scenes.

GRAB dataset is a dataset of whole-body human grasping of objects.

HO3D dataset is a real-world dataset capturing 10 different subjects performing various fine-grained manipulations on one of the 10 objects from the YCB models.

ContactDescribe dataset is an enhanced dataset based on the ContactPose, which combines hand-object contact information with hand pose, object pose, and RGB-D images.

We aggregate 7 diverse real-world interaction datasets resulting in long-tailed collection of interactions across 157 object categories, and train a shared model across these.

We propose G-HOP, a denoising diffusion based generative prior for hand-object interactions that allows modeling both the 3D object and a human hand, conditioned on the object...

Zhou et al. (2023) - Sparsefusion

Common Objects in 3D (CO3Dv2)