VIINTER

Implementation of VIINTER: View Interpolation With Implicit Neural Representations of Images

Quick Start Example

Dependencies: torch 1.12, clip, imageio, tqdm, skimage, argparse, PIL

Train a Stanford Light Field scene

1. Download Chess scene here
2. Move rectified to data/LF and rename as data/LF/Chess
3. python train.py --data_dir data/LF --dset LF --scene Chess --clip 0.0

Train a LLFF scene

1. Download flower scene here
2. Move flower/images_4 under data/LLFF and rename as data/LLFF/flower
3. python train.py --data_dir data/LLFF --dset LLFF --scene flower --clip 0.01