SeaThru-NeRF

Official SeaThru-NeRF implementation. It is based on MipNeRF 360 and was disagned for underwater scenes.

Web: https://sea-thru-nerf.github.io/
Paper: SeaThru-NeRF: Neural Radiance Fields in Scattering Media
Authors: Deborah Levy, Amit Peleg, Naama Pearl, Dan Rosenbaum, Derya Akkaynak, Tali Treibitz, Simon Korman

SeaThru-NeRF

SeaThru-NeRF dataset contains four underwater forward-facing scenes.

Scene PSNR SSIM LPIPS Time GPU mem.
Curasao 30.00
Paper's PSNR: 30.48
0.870
Paper's SSIM: 0.87
0.215
Paper's LPIPS: 0.2
2h 48m 47s 127.66 GB
Panama 27.82
Paper's PSNR: 27.89
0.834
Paper's SSIM: 0.83
0.226
Paper's LPIPS: 0.22
2h 54m 57s 127.66 GB
IUI3 25.92 0.787 0.294 2h 46m 50s 127.44 GB
Japanese Gradens 21.73
Paper's PSNR: 21.83
0.768
Paper's SSIM: 0.77
0.246
Paper's LPIPS: 0.25
2h 46m 1s 127.44 GB
Average 26.37 0.815 0.245 2h 49m 9s 127.55 GB