First download from Google Drive the dataset folder, and put it under the root path.
-
Object-level
- Objaverse-Xl
- Description
- Can be downloaded by the API provied in the Colab tutorial
- MVImageNet
- OminiObject3D
- Description
- Download link
- Used cat: beauty_blender
- Google Scanned Object
- NeRF-based dataset
- Download link
- LLFF
- synthetic
- Objaverse-Xl
-
Scene-level
- Scannet++
- Download link
- downloaded: DSLR only (2 MP): 112 GB
- 3D-Future
- Download link
- Only contain Single view
- Select randomly 6 scenes from train/test set
- RealEstate10K
- Download link
- used: test/ec2745428712d42b
- Scannet++
This part using the Python + webasm/js/css/html and can be used instantly (does not need any C++ compilation).
pip install requirement.txt
python OminiObject3D.py / 3D_Future.py
open your browser with localhost:8888
Using SIFT to find Keypoint, experiment on the book_002/008.png and book_002/010.png from dataset/OmniObject3D.
python epipolar_draw.py
python stereo_rectification.py
The main structure of Visualization Part is builded on Alex Yu's plenoctrees. Thanks for your wonderful work!