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Kubric

Benchmarks

Task NameDataset NameSOTA ResultTrend
Visual World ModellingKubric
GPT-4o Score7.45
18
Point TrackingKubric
AJ74
18
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
Forward-dynamics PredictionKubric AURORA-BENCH
GPT-4o Score7.32
9
Point TrackingKubric TAP-Vid
Average Jaccard88.3
9
4D reconstructionKubric G
EPE P0 (t1)0.024
8
4D reconstructionKubric-F
EPE P0 (t1)0.019
8
World-centric geometry reconstructionKubric
Rel^p3.4
7
Point TrackingKubric (test)
Mean EPE2.51
7
Point TrackingKubric TAP-Vid (test)
AJ40.1
7
Dense Scene Flow EstimationKubric-4D Static Camera Scene Flow (held-out scenes)
EPE0.1
6
Novel View SynthesisKubric Pillow
LPIPS0.018
6
Novel View SynthesisKubric Bag
LPIPS0.006
6
Novel View SynthesisKubric Cars
LPIPS0.035
6
Novel View SynthesisKubric Car
LPIPS0.013
6
Video-to-4D Scene GenerationKubric 14 (test)
CLIP Similarity86.41
6
Action-centric EditingKubric (test)
Human Evaluation Score0.4
4
Dense TrackingKubric G
EPE0.035
4
Dense TrackingKubric-F
EPE0.027
4
Dense TrackingKubric (test)
APD85.44
4
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