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ShapeNeRF–Text
The ShapeNeRF–Text dataset consists of 40K paired NeRFs and language annotations for ShapeNet objects. -
NeRFlame dataset
A dataset of 3D human faces for training and testing the NeRFlame model. -
DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors
DP-NeRF is a novel NeRF framework from blurry inputs, that imposes two physical priors to effectively construct a clean NeRF. -
mip-NeRF 360 dataset
The mip-NeRF 360 dataset contains 360-degree panoramic images of indoor and outdoor scenes. -
RawNeRF dataset
Our dataset contains 7 real-world nighttime scenes captured with cell phones, with varying exposure and lighting conditions. -
NeRF Synthetic dataset
The NeRF Synthetic dataset is a synthetic dataset created for testing the performance of neural radiance fields. -
Mip-NeRF 360 Fox
The dataset used in the paper is a 3D environment with a fox and a table. -
Mip-NeRF 360 Bicycle
The dataset used in the paper is a 3D environment with a bicycle and a bench. -
Mip-NeRF 360 Garden
The dataset used in the paper is a 3D environment with a cubic mesh and reflective textures, and synthetic mesh objects. -
LEARNING A DIFFUSION PRIOR FOR NERFS
The dataset is used for learning a diffusion prior for NeRFs that can generate NeRFs and be used as a prior for different test-time optimization algorithms. -
NeRF realistic synthetic 360° dataset
NeRF realistic synthetic 360° dataset, used for training and testing NeRF models for few-shot view synthesis. -
Grapevine Dataset
A dataset for registration of real-world grapevine scans and a synthetic dataset with known ground truth registration. -
Zero-NeRF: Registration with Zero Overlap
A dataset for registration of real-world scenes from opposite sides with infinitesimal overlaps that cannot be accurately registered using prior methods. -
Noisy LLFF Synthetic
The dataset used in the paper is a large-scale paired dataset for training a NeRF-agnostic restorer. It consists of 8 virtual scenes, each with 400 images. -
Deblur-NeRF dataset
The dataset used in the paper is the Deblur-NeRF dataset, which consists of blurry training images and ground truth images. -
Custom Simulator Dataset
The dataset used in the paper is a custom-built simulator dataset, which is used to train and test the neural radiance field (NeRF) model. -
Nerf dataset
The Nerf dataset is a collection of 3D scenes rendered using neural radiance fields.
