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NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
Real-time 3D scene reconstruction from monocular video -
MegaDepth dataset
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. -
ETH3D Benchmark
The ETH3D Benchmark dataset contains a set of objects 3D coordinates, images in which these objects can be seen, the intrinsic parameters and the pose of each of the cameras... -
Non-line-of-sight reconstruction using efficient transient rendering
Non-line-of-sight reconstruction using efficient transient rendering -
3D-R2N2: A Unified Approach for Single and Multi-View 3D Object Reconstruction
3D-R2N2: A Unified Approach for Single and Multi-View 3D Object Reconstruction -
Occlusion Fields
Non-line-of-sight scene reconstruction using time-of-flight measurements -
Perspective Transformer Nets
The dataset used in this paper for 3D mesh reconstruction from a single image. -
Scannet: Richly-annotated 3D reconstructions of indoor scenes
Scannet: Richly-annotated 3D reconstructions of indoor scenes. -
DVGO dataset
The dataset used in the paper is the DVGO dataset, which contains 3D scenes and is used for training and testing the proposed neural radiance field model. -
LF dataset
The dataset used in the paper is the LF dataset, which contains real-world scenes and is used for training and testing the proposed neural radiance field model. -
LLFF dataset
The dataset used in the paper is the LLFF dataset, which contains real-world scenes and is used for training and testing the proposed neural radiance field model. -
Shapenet: An Information-Rich 3D Model Repository
A large-scale 3D model repository containing over 16,000 3D models. -
InterHand2.6M
The InterHand2.6M dataset contains 366K training samples, 110K validation samples, and 261K test samples. It is the only interacting two-hand dataset with dense shape annotations. -
Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset o...
Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset of CAD models -
Nerfies: Casual Free-Viewpoint Selfies
Deformable Neural Radiance Fields extend NeRF by modeling non-rigidly deforming scenes. -
DTU MVS Dataset
The DTU MVS dataset contains 49 images of physical objects in real environments. -
Tanks and Temples Advanced (T&T) Dataset
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. -
Simulated Multiview Lidar Dataset
Simulated multiview lidar dataset for transient neural radiance fields
