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Kubric

Benchmarks

Task NameDataset NameSOTA ResultTrend
Visual World ModellingKubric
GPT-4o Score7.45
18
Point TrackingKubric
AJ74
18
Optical flow estimationKubric 8K
1px Error (%)8
17
Future Surface Normals EstimationKubric (test)
a393.45
12
Future Depth EstimationKubric (test)
d1 Score88.8
12
Future Semantic SegmentationKubric (test)
mIoU (All Classes)70.55
12
Dense TrackingKubric
EPE1.525
11
Motion generationKubric
FVMD13,745
9
Two-view trackingKubric-G (test)
P0 (t1)0.043
9
Two-view trackingKubric-F (test)
Tracking Error P0 (t1)0.031
9
3D dense trackingKubric (test)
AJ42.08
9
Forward-dynamics PredictionKubric AURORA-BENCH
GPT-4o Score7.32
9
Point TrackingKubric TAP-Vid
Average Jaccard88.3
9
Motion generationKubric (out-of-distribution)
FVMD5,118.1
8
Dynamic Novel View SynthesisKubric-MRig
PSNR23.02
8
4D reconstructionKubric G
EPE P0 (t1)0.024
8
4D reconstructionKubric-F
EPE P0 (t1)0.019
8
Novel View SynthesisKubric-4D-dyn dynamic only (target 3)
PSNR17.37
7
Novel View SynthesisKubric-4D-dyn dynamic only (target 2)
PSNR19.1
7
Novel View SynthesisKubric-4D-dyn dynamic only (target 1)
PSNR22.27
7
World-centric geometry reconstructionKubric
Rel^p3.4
7
Point TrackingKubric (test)
Mean EPE2.51
7
Point TrackingKubric TAP-Vid (test)
AJ40.1
7
Novel View SynthesisKubric zero-shot
PSNR28.17
6
Dense Scene Flow EstimationKubric-4D Static Camera Scene Flow (held-out scenes)
EPE0.1
6
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