3d-reconstruction
3d-reconstructionsDrone_based_3D_Reconstruction_of_Plants_AAAI26
Drone-based 3D Reconstruction of Plants in Field Conditions Using Neural Radiance Fields (NeRFs)
This repository contains resulting 3D point cloud reconstructions generated using Neural Radiance Fields (NeRFs) for field-grown plants.
The point clouds are outputs from a comparative study evaluating different image acquisition modalities under real-world agricultural field conditions.
These outputs accompany the paper:
Drone-based 3D Reconstruction of Plants in Field Conditions using… See the full description on the dataset page: https://huggingface.co/datasets/ShambhaviJoshi/Drone_based_3D_Reconstruction_of_Plants_AAAI26.metaquest-3d-reconstruction3D-Reconstruction-Benchmark-Asset-Inspection
Asset Inspection Dataset
This dataset's scenes are arranged as follows:
scene/
├── cam_parameters.tar
├── depths.tar
├── images.tar
├── scene.glb Scene
└── scene.blend
The office building scene has four surface soiling settings, so it is arranged as follows
office_building
├── cam_parameters.tar
├── depths.tar
├── high_soiling_images.tar
├── low_soiling_images.tar
├── medium_soiling_images.tar
├── office_building.glb
├── very_low_soiling_images.tar
└── Office_model.blend… See the full description on the dataset page: https://huggingface.co/datasets/Slighting3121/3D-Reconstruction-Benchmark-Asset-Inspection.3D-Reconstructiontest_multiview_3d_reconstructionThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100_follower",
"total_episodes": 1,
"total_frames": 757,
"total_tasks": 1,
"total_videos": 2,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/jccj/test_multiview_3d_reconstruction.