DLR
5.72 FID
A2 · FID, precision, recall and generated images
Ranked by FID · lower is better. Student groups and professor references compete together.
5.72 FID
7.41 FID
7.42 FID
FID over time · lower is better.
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No successful evaluations yet.
FID ↓ · precision ↑ · recall ↑. P and R are fractions between 0 and 1. The generator architecture must stay fixed.
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| Rank | Status | Samples | Source | |||||
|---|---|---|---|---|---|---|---|---|
| 1 | DLR2026 group | 5.72 | 0.893 | 0.713 | 73.68CPU | Success | 10 images | Repositoryf6344bdb |
| 2 | BestOf 2025 · 2Reference | 7.41 | 0.855 | 0.702 | 89.47A40 | Success | 10 images | Frozen referencec64582d3 |
| 3 | BestOf IASDAPP2026 · 1Reference | 7.42 | 0.866 | 0.611 | 93.84A40 | Success | 10 images | Frozen reference4c551f37 |
| 4 | BestOf 2025 · 1Reference | 8.03 | 0.807 | 0.702 | 71.79A40 | Success | 10 images | Frozen reference39f46132 |
| 5 | BestOf IASDAPP2026 · 2Reference | 9.56 | 0.883 | 0.514 | 81.16A40 | Success | 10 images | Frozen reference7356859e |
| 6 | RTFM2026 group | 10.35 | 0.840 | 0.672 | 82.50CPU | Success | 10 images | Repositoryfd3f0eba |
| 7 | BestOf Bachelor2024Reference | 12.40 | 0.873 | 0.658 | 142.29A40 | Success | 10 images | Frozen reference993c998a |
| 8 | Group 242026 group | 13.06 | 0.534 | 0.244 | 64.77CPU | Success | 10 images | Repository640f4b23 |
| 9 | A22026 group | 13.46 | 0.803 | 0.674 | 71.27CPU | Success | 10 images | Repositorye64cf23c |
| 10 | HQHD2026 group | 14.88 | 0.885 | 0.579 | 71.86CPU | Success | 10 images | Repositoryd1767d26 |
| 11 | NYBandits2026 group | 15.64 | 0.561 | 0.365 | 72.39CPU | Success | 10 images | Repository2b0447eb |
| 12 | CLM2026 group | 16.51 | 0.759 | 0.662 | 82.76CPU | Success | 10 images | Repository150a4f9c |
| 13 | Réveille-toi Canna2026 group | 16.82 | 0.727 | 0.663 | 88.97CPU | Success | 10 images | Repository61e1fd3d |
| 14 | BestOf DL3IASO2026 · 1Reference | 16.83 | 0.675 | 0.512 | 89.78A40 | Success | 10 images | Frozen referenceb546a7bb |
| 15 | BestOf 2024 · 2Reference | 17.48 | 0.796 | 0.557 | 85.90A40 | Success | 10 images | Frozen reference8206b67b |
| 16 | BestOf 2023 · 1Reference | 18.16 | 0.568 | 0.233 | 89.18A40 | Success | 10 images | Frozen reference944272bd |
| 17 | BestOf 2024 · 1Reference | 18.18 | 0.724 | 0.575 | 82.10A40 | Success | 10 images | Frozen referencec835ac05 |
| 18 | GANgnam style2026 group | 18.22 | 0.779 | 0.561 | 83.13CPU | Success | 10 images | Repository6164b6e5 |
| 19 | Group 372026 group | 18.47 | 0.726 | 0.580 | 75.23CPU | Success | 10 images | Repository2befc005 |
| 20 | Group 172026 group | 19.04 | 0.604 | 0.278 | 75.25CPU | Success | 10 images | Repositoryf1965525 |
| 21 | BestOf DL3IASO2026 · 2Reference | 19.34 | 0.584 | 0.155 | 79.76A40 | Success | 10 images | Frozen reference0838ee7a |
| 22 | CreativeConcepts2026 group | 20.65 | 0.764 | 0.505 | 101.51CPU | Success | 10 images | Repository59b7c103 |
| 23 | TP2026 group | 21.71 | 0.707 | 0.597 | 76.16CPU | Success | 10 images | Repositoryfbdd93f1 |
| 24 | SES_team2026 group | 22.42 | 0.570 | 0.151 | 73.54CPU | Success | 10 images | Repository2817a902 |
| 25 | QOR2026 group | 22.55 | 0.831 | 0.639 | 81.17CPU | Success | 10 images | Repository75e2e0ff |
| 26 | 3StochasticParrots2026 group | 27.74 | 0.526 | 0.204 | 72.05CPU | Success | 10 images | Repository5a0dda42 |
| 27 | AKA2026 group | 28.05 | 0.507 | 0.242 | 287.78CPU | Success | 10 images | Repository8b72ea0f |
| 28 | jaipasdidéesdenomdegroupe2026 group | 28.07 | 0.506 | 0.218 | 69.63CPU | Success | 10 images | Repositoryb9ee66d2 |
| 29 | Skill issue2026 group | 29.68 | 0.529 | 0.214 | 79.67CPU | Success | 10 images | Repository642bd3fc |
| 30 | Que la GAN2026 group | 29.82 | 0.507 | 0.210 | 79.27CPU | Success | 10 images | Repository3df98bba |
| 31 | CirylGan2026 group | 33.47 | 0.514 | 0.214 | 75.84CPU | Success | 10 images | Repository2a2dd68f |
| 32 | BestOf 2023 · 2Reference | 36.04 | 0.523 | 0.307 | 80.03A40 | Success | 10 images | Frozen reference836a496b |
| 33 | The Ambassadors2026 group | 39.37 | 0.498 | 0.290 | 71.54CPU | Success | 10 images | Repository2e2c8406 |
| 34 | Klick2026 group | 39.39 | 0.706 | 0.484 | 404.81CPU | Success | 10 images | Repository912f2831 |
| 35 | Consistent GANaches2026 group | 42.61 | 0.604 | 0.445 | 74.85CPU | Success | 10 images | Repository471a1f55 |
| 36 | GANsters2026 group | 45.28 | 0.602 | 0.408 | 68.19CPU | Success | 10 images | Repository1fef4222 |
| 37 | VanillaGANReference | 49.28 | 0.467 | 0.191 | 80.92A40 | Success | 10 images | Frozen reference4b4d8ba1 |
| 38 | Madeleines2026 group | 60.80 | 0.539 | 0.000 | 78.13CPU | Success | 10 images | Repositorycc424795 |
| 39 | Tung Tung Tung Tung Tung GANur2026 group | 98.50 | 0.425 | 0.200 | 76.50CPU | Success | 10 images | Repository7f3f473f |
| 40 | Lamine Yamal2026 group | 103.32 | 0.577 | 0.034 | 77.62CPU | Success | 10 images | Repository215909f4 |
| 41 | blue2026 group | 383.33 | 0.000 | 0.000 | 79.56CPU | Success | 10 images | Repositoryb3c8683a |
| 42 | Data-22026 group | 383.56 | 0.000 | 0.000 | 78.48CPU | Success | 10 images | Repository85ed7cff |
| 43 | Sbo3a2026 group | 383.70 | 0.000 | 0.000 | 76.01CPU | Success | 10 images | Repository816d8b16 |
| 44 | Group 332026 group | 383.77 | 0.000 | 0.000 | 75.68CPU | Success | 10 images | Repository20a10c73 |
| 45 | AR2026 group | 383.89 | 0.000 | 0.000 | 70.00CPU | Success | 10 images | Repositoryafc8a6b6 |
| 46 | Data Lab - 22026 group | 384.29 | 0.000 | 0.000 | 77.29CPU | Success | 10 images | Repository2b281e11 |
| 47 | MNISLOP2026 group | 384.36 | 0.000 | 0.000 | 77.89CPU | Success | 10 images | Repository1fa813d8 |
| 48 | LaMasIA2026 group | 384.99 | 0.000 | 0.000 | 73.86CPU | Success | 10 images | Repositorya858dd8d |
| — | Bach enjoyers2026 group | — | — | — | 28.19CPU | Error images: ValueError: Expected exactly 10000 PNG images in samples/, found 1508 entries | — | Repositorya2f0a1dd |
| — | DauDauBis2026 group | — | — | — | —CPU | Error generation: RuntimeError: Process exited with code 1. Using device: CPU Model Loading... Model loaded. Start Generating Traceback (most recent call last): File "/work/generate.py", line 51, in <module> imgs, rate = obrs_sample(model, D, 10000, obrs_k, device, bs=args.batch_size, ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ z_scale=args.truncation_psi) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/env/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context return func(*args, **kwargs) File "/work/utils.py", line 71, in obrs_sample log_c = calibrate_log_c(fake_logits(D, G, n_calib, device, bs), K) ^^^^^^^^^^^^^^^ NameError: name 'calibrate_log_c' is not defined | — | Repository050c8edd |
| — | Group 392026 group | — | — | — | — | Pending | — | Repository pending |
| — | Latent Dwellers2026 group | — | — | — | — | Error Repository snapshot exceeds 1 GiB | — | Repository |
| — | ganberge2026 group | — | — | — | 69.84CPU | Error images: ValueError: Expected exactly 10000 PNG images in samples/, found 10001 entries | — | Repository94e39c29 |
No matching group.
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Run 20261107T040001Z · Generation limit: 1200 s. Student generation: 4 CPU threads / 12 GiB; historical references may use one A40. Metrics use the evaluator GPU. Time excludes dependency installation and metric computation.