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NeRF Synthetic dataset and LLFF dataset
The dataset used for 2D image fitting and NeRF training. -
MaiCity dataset
Reconstructing large-scale 3D scenes is essential for autonomous vehicles, especially when partial sensor data is lost. -
PC-NeRF: Parent-Child Neural Radiance Fields
Reconstructing large-scale 3D scenes is essential for autonomous vehicles, especially when partial sensor data is lost. -
Set-the-Scene
A dataset for generating controllable scenes using a composable NeRF representation. -
ObjectScans
A dataset of 121 video sequences of common household objects, captured by GoPro Hero9 action cameras at 30 FPS and 1920 × 1080 resolution. -
NeRF Editing and SVG Editing Datasets
The dataset used in the paper is not explicitly mentioned, but it is mentioned that the authors used real scenes and scenes from IN2N [9] and LLFF [29]. -
KITTI-360 NVS Benchmark
NeRF dataset for large-scale urban scene reconstruction -
NeRF-based Hologram Generation
The dataset used in this study for hologram generation using NeRF technique. -
NeRF-Synthetic benchmark dataset
NeRF-Synthetic benchmark dataset, containing 8 synthetic objects with images taken from different viewpoints uniformly distributed in the hemisphere. -
Distilled Feature Fields Enable Open-Ended Manipulation
The dataset used in the paper is a collection of RGB images of a tabletop scene, along with their corresponding camera poses and 3D geometry. -
The Replica dataset
A digital replica of indoor spaces for training and testing NeRF-based models -
Real-world camera motion blur and defocus blur datasets
Real-world camera motion blur and defocus blur datasets for training a sharp NeRF under blurry input. -
Synthetic camera motion blur and defocus blur datasets
Synthetic camera motion blur and defocus blur datasets for training a sharp NeRF under blurry input. -
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. -
JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields
The dataset used in the paper for cinematic motion transfer, consisting of NeRF representations of 3D scenes and reference video clips.
