14 datasets found

The dataset used in the paper is a collection of images for training and testing the 3D Gaussian Splatting model.

The dataset used in the paper is a collection of images for training and testing the 3D Gaussian Splatting model.

The dataset used in the paper is a synthetic model performance improvement evaluation solution and experiments test.

The VEGS dataset is a urban scene reconstruction method for improved Extrapolated View Synthesis (EVS) given training images from forward-facing cameras.

The dataset used in the paper for 3D Gaussian splatting for real-time radiance field rendering.

We present MVSGaussian, a new fast generalizable Gaussian Splatting method. We evaluate our method on the widely-used DTU [1], Real Forward-facing [28], NeRF Synthetic [29], and...

The dataset used in the paper for omnidirectional Gaussian Splatting for fast radiance field reconstruction using omnidirectional images.

A 3D Gaussian Splatting (3DGS) scene reconstructed by the 3D Gaussian Splatting (3DGS).

The 3D Gaussian Splatting (3DGS) dataset is used for real-time radiance field rendering.

The CoherentGS dataset is used for sparse novel view synthesis with coherent 3D Gaussians.

The dataset used in the paper for View-Consistent 3D Editing with Gaussian Splatting

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

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a 3D Gaussian Splatting representation to bridge the 3D and 2D diffusion...

The Mip-NeRF360 dataset contains scenes taken from a 360 degree view, with emphasis on minimizing photometric variations.