TensoRF

TensoRF factorizes the radiance field into a multiple compact low-rank tensor components. It was designed and tester primarily on Blender, LLFF, and NSVF datasets.

Web: https://apchenstu.github.io/TensoRF/
Paper: TensoRF: Tensorial Radiance Fields
Authors: Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su

Blender

Blender (nerf-synthetic) is a synthetic dataset used to benchmark NeRF methods. It consists of 8 scenes of an object placed on a white background. Cameras are placed on a semi-sphere around the object. Scenes are licensed under various CC licenses.

Scene PSNR SSIM LPIPS (VGG) Time GPU mem.
lego 36.49
Paper's PSNR: 36.46
0.983
Paper's SSIM: 0.983
0.022
Paper's LPIPS (VGG): 0.018
10m 1s 20.53 GB
drums 26.01
Paper's PSNR: 26.01
0.936
Paper's SSIM: 0.937
0.076
Paper's LPIPS (VGG): 0.073
8m 56s 19.67 GB
ficus 34.06
Paper's PSNR: 33.99
0.982
Paper's SSIM: 0.982
0.029
Paper's LPIPS (VGG): 0.022
10m 45s 7.28 GB
hotdog 37.49
Paper's PSNR: 37.41
0.982
Paper's SSIM: 0.982
0.033
Paper's LPIPS (VGG): 0.032
11m 18s 19.77 GB
materials 30.08
Paper's PSNR: 30.12
0.952
Paper's SSIM: 0.952
0.059
Paper's LPIPS (VGG): 0.058
14m 55s 21.09 GB
mic 34.85
Paper's PSNR: 34.61
0.988
Paper's SSIM: 0.988
0.021
Paper's LPIPS (VGG): 0.015
8m 8s 11.21 GB
ship 30.69
Paper's PSNR: 30.77
0.894
Paper's SSIM: 0.895
0.141
Paper's LPIPS (VGG): 0.138
13m 19s 18.80 GB
chair 35.72
Paper's PSNR: 35.76
0.984
Paper's SSIM: 0.985
0.027
Paper's LPIPS (VGG): 0.022
8m 56s 12.60 GB
Average 33.17
Paper's PSNR: 33.14
0.963
Paper's SSIM: 0.963
0.051
Paper's LPIPS (VGG): 0.047
10m 47s 16.37 GB