158 datasets found

3D-FRONT is a synthetic dataset composed of 6,813 houses with 14,629 rooms, where each room is arranged by a collection of high-quality 3D furniture objects from the 3D-FUTURE...

The Kubric dataset offers training and validation data across various difficulty levels, featuring videos of objects interacting with each other.

The RenderDiffusion dataset is a dataset used in the paper LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation

The dataset contains five tabletop real scenes imaged by 352 cameras in a dome.

The dataset contains 80 real-world scenes with image sequences and structured light 3D scans as reference data.

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

The DTU benchmark dataset consists of scenes featuring real objects, including images, corresponding camera poses, and reference point clouds obtained from a structured-light...

Generating geometric 3D reconstructions from Neural Radiance Fields (NeRFs) is of great interest. However, accurate and complete reconstructions based on the density values are...

The authors propose a novel Factorized 3D Gaussian Splatting (F-3DGS) method to reduce the storage requirements while maintaining image quality compared to 3DGS.

AXYZ is a dataset of 207 3D scans of people in various poses.

The dataset used for testing and evaluation of the volumetric performance capture system.

ARCH (Animatable Reconstruction of Clothed Humans) is a novel end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a monocular image.

The KITTI Vision Benchmark Suite is a dataset used for object detection and tracking in autonomous vehicles.

The Middlebury dataset is a benchmark for stereo vision and 3D reconstruction.

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...

DeepFashion3D is a dataset for 3D garment reconstruction from single images.

Google Scanned Object dataset contains 3D scanned household items.

Envision3D generates 32 dense view images and extracts high-quality 3D content from one input image in 3-4 minutes.

CAPE dataset

The dataset used for volumetric performance capture and rendering from a single RGB camera.