Single Photon Challenge

Sacha Jungerman1, Atul Ingle2, Sotiris Nousias3, Mian Wei4, Mel White5, Mohit Gupta1

1University of Wisconsin - Madison, 2Portland State University, 3Purdue University,
4Carnegie Mellon University, 5US Naval Research Lab

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Reconstruction Results

#

Mean
PSNR ↑

5% Low
PSNR ↑

1% Low
PSNR ↑

Mean
MS-SSIM ↑

5% Low
MS-SSIM ↑

1% Low
MS-SSIM ↑

Mean
LPIPS ↓

5% Low
LPIPS ↓

1% Low
LPIPS ↓

1 33.346 25.054 22.926 0.964 0.912 0.889 0.116 0.250 0.295
Anonymous.
2 32.390 24.544 22.414 0.956 0.903 0.879 0.116 0.260 0.317
Anonymous.
3 31.827 23.925 22.050 0.951 0.895 0.872 0.132 0.292 0.336
Anonymous.
4 27.315 20.747 16.914 0.949 0.908 0.871 0.101 0.182 0.261
Anonymous.
5 31.611 23.513 21.636 0.951 0.893 0.866 0.137 0.286 0.331
Anonymous.
6 31.489 23.134 21.616 0.948 0.885 0.842 0.154 0.324 0.353
Anonymous.
7 29.128 23.291 21.691 0.937 0.870 0.839 0.200 0.339 0.378
https://arxiv.org/abs/2410.23247
8 30.988 23.130 21.560 0.944 0.868 0.828 0.163 0.351 0.405
Anonymous.
9 30.161 21.981 20.681 0.932 0.830 0.798 0.191 0.353 0.420
Anonymous.
10 28.530 21.080 19.147 0.920 0.827 0.781 0.198 0.398 0.475
Anonymous.
11 16.783 12.234 11.736 0.868 0.785 0.745 0.253 0.384 0.433
https://arxiv.org/abs/2602.20417
12 19.529 14.157 12.834 0.863 0.724 0.679 0.237 0.370 0.404
https://arxiv.org/abs/2602.20417
13 26.841 18.335 16.429 0.887 0.739 0.673 0.233 0.430 0.496
Anonymous.
14 25.357 18.174 16.330 0.877 0.733 0.649 0.246 0.441 0.504
Anonymous.
15 22.487 14.630 12.447 0.783 0.572 0.454 0.394 0.563 0.600
Anonymous.
16 21.733 14.426 12.930 0.758 0.538 0.442 0.425 0.593 0.619
3d-u-100
17 21.562 14.165 11.700 0.744 0.525 0.404 0.533 0.728 0.748
Anonymous.
18 16.260 11.578 9.088 0.746 0.492 0.332 0.293 0.781 1.088
 
19 24.536 5.270 4.499 0.794 0.297 0.239 0.358 1.015 1.227
Anonymous.
20 13.572 7.439 7.189 0.486 0.285 0.226 0.939 1.304 1.345
💡 Naive sum with batch_size=16, invert_response=True and tonemap=True
21 15.110 7.576 7.260 0.507 0.265 0.223 0.890 1.308 1.351
💡 Naive sum with batch_size=32, invert_response=True and tonemap=True
22 16.365 7.792 7.351 0.519 0.230 0.194 0.852 1.295 1.352
💡 Naive sum with batch_size=64, invert_response=True and tonemap=True
23 16.203 10.726 10.070 0.501 0.240 0.178 0.679 1.063 1.101
💡 Naive sum with batch_size=1024, invert_response=True and tonemap=True
24 17.093 9.560 9.235 0.520 0.212 0.153 0.818 1.240 1.284
💡 Naive sum with batch_size=128, invert_response=True and tonemap=True
25 17.292 11.340 10.439 0.516 0.215 0.119 0.779 1.181 1.227
💡 Naive sum with batch_size=256, invert_response=True and tonemap=True

Entries marked with 💡 have been submitted by the SPC team as baselines.

Note: Submissions waiting for evaluation will not be shown here.

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