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Leaderboard

Compare highlighted camera-intrinsics and LUT-Reliable EPE recall metrics. Select an evaluation set, then click the ↕, ▲, or ▼ arrow beside a metric threshold to choose the sort metric and direction. A submission not evaluated for the selected set remains visible with em dashes.

Higher recall is better ↑

InFlux++ Real — InFlux++ Real evaluation set
Sorted by LUT-Reliable EPE Recall @300 px, highest first. 8 public results.
Method fx Recall ↑ fy Recall ↑ cx Recall ↑ cy Recall ↑ LUT-Reliable EPE Recall ↑ Publication Code Date
@1% @10% @20% @1% @10% @20% @0.5% @1% @2% @0.5% @1% @2% @10 px @50 px @300 px
AnyCalib[2] 3.36 28.2 45.7 3.31 28.1 45.7 34.7 72.6 97.8 18.2 27.8 34.7 6.40e-3 24.3 87.9 [paper] [code] 2026-07-25
AnyCalib (finetuned by InFlux++)[1] 4.00 34.2 54.0 3.96 34.0 53.9 25.9 62.3 94.7 14.5 24.2 32.3 1.66e-1 17.9 78.2 [paper] [code] 2026-07-25
GeoCalib[5] 2.52 22.8 38.3 2.50 22.7 38.3 39.9 78.5 99.3 28.2 30.0 33.1 2.11e-3 16.9 76.7 [paper] [code] 2026-07-25
UniDepth v2[7] 1.63 15.8 29.6 1.52 14.7 28.7 18.0 44.3 71.3 3.01 6.85 18.6 4.53e-3 6.04 63.9 [paper] [code] 2026-07-25
WildCamera[8] 1.41 14.1 28.7 1.42 14.6 29.1 4.27 8.94 20.9 5.33 10.6 21.1 8.00e-3 4.31 59.6 [paper] [code] 2026-07-25
Perspective Fields[6] 8.63e-1 8.95 19.4 8.33e-1 8.82 19.2 1.44 2.89 5.78 1.54 3.05 6.14 8.12e-3 8.29e-1 24.0 [paper] [code] 2026-07-25
DroidCalib[4] 8.06e-1 6.90 12.9 6.53e-1 6.91 13.6 2.56 5.81 13.9 2.30 3.96 7.06 1.81e-2 1.39 15.0 [paper] [code] 2026-07-25
COLMAP[3] 1.76 7.30 8.10 1.84 7.31 8.11 2.21 6.99 9.06 8.41e-1 8.89e-1 1.08 2.38e-1 4.89 12.1 [paper] [code] 2026-07-25

Only results explicitly published by the original submitter are shown. Submitter email addresses and private prediction files are never exposed here.

References

Reference numbers are sorted by submission time.

  1. [1] InFlux++: Real and Synthetic Data for Estimating Dynamic Camera Intrinsics. [paper] [code]
  2. [2] AnyCalib: On-Manifold Learning for Model-Agnostic Single-View Camera Calibration. [paper] [code]
  3. [3] Structure-from-Motion Revisited. [paper] [code]
  4. [4] Deep Geometry-Aware Camera Self-Calibration from Video. [paper] [code]
  5. [5] GeoCalib: Learning Single-image Calibration with Geometric Optimization. [paper] [code]
  6. [6] Perspective Fields for Single Image Camera Calibration. [paper] [code]
  7. [7] UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler. [paper] [code]
  8. [8] Tame a Wild Camera: In-the-Wild Monocular Camera Calibration. [paper] [code]