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

#
Name 

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 ↓
26
Sampling issue
24.536 5.270 4.499 0.794 0.297 0.239 0.358 1.015 1.227
Anonymous.
27
Stage 1 - Motion-Compensated Aggregation
24.159 17.981 14.113 0.770 0.546 0.358 0.516 0.763 1.025
Anonymous.
28
srinivas kachavarapu
22.487 14.630 12.447 0.783 0.572 0.454 0.394 0.563 0.600
Anonymous.
29
Charles Liu SC
21.913 13.637 11.831 0.869 0.757 0.681 0.343 0.483 0.538
Anonymous.
30
Charles Liu SC6.1
21.780 13.615 11.826 0.860 0.746 0.684 0.361 0.496 0.549
Anonymous.
31
srinivas kachavarapu
21.733 14.426 12.930 0.758 0.538 0.442 0.425 0.593 0.619
3d-u-100
32
Charles Liu Gauv7
21.568 13.668 11.789 0.829 0.685 0.595 0.419 0.554 0.620
Anonymous.
33
submission_res
20.004 16.054 15.020 0.719 0.454 0.380 0.455 0.658 0.726
Anonymous.
34
gQIR_SD35+HistMatched
19.529 14.157 12.834 0.863 0.724 0.679 0.237 0.370 0.404
https://arxiv.org/abs/2602.20417
35
Naivesum 256
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
36
Naivesum 128
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
37
Naivesum 512
16.885 11.637 10.859 0.508 0.222 0.117 0.727 1.108 1.163
💡 Naive sum with batch_size=512, invert_response=True and tonemap=True
38
gQIR_SD35
16.783 12.234 11.736 0.868 0.785 0.745 0.253 0.384 0.433
https://arxiv.org/abs/2602.20417
39
Naivesum 64
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
40
FluxISP
16.260 11.578 9.088 0.746 0.492 0.332 0.293 0.781 1.088
 
41
Naivesum 1024
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
42
Naivesum 32
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
43
Naivesum 16
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

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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