Generative Modeling
Benchmarks
Dataset NameSOTA methodMetricTrendResultsLast Updated
6.17FID
3
Jun 5, 2026
0.323MMD
3
May 8, 2026
1Energy Evaluation
3
Apr 23, 2026
1Energy Evaluation
3
Apr 23, 2026
1Energy Evaluation
3
Apr 23, 2026
1Energy
3
Apr 23, 2026
5.176KL Divergence
3
Apr 14, 2026
5.832KL Divergence
3
Apr 14, 2026
2.212KL Divergence
3
Apr 14, 2026
29.27FID (Axial)
3
Apr 1, 2026
-0.875Log-Likelihood (LL)
3
Mar 10, 2026
-0.848Log Likelihood (LL)
3
Mar 10, 2026
49.1KID
3
Feb 26, 2026
7.42KID
3
Feb 26, 2026
3.44NLL
3
Feb 26, 2026
78.01NLL (nats)
3
Feb 26, 2026
51.11FID
3
Feb 26, 2026
41.75FID
3
Feb 26, 2026
37.21FID
3
Feb 26, 2026
0.99BITS/DIM
3
Feb 26, 2026
3.4Bits Per Dimension
3
Feb 26, 2026
2.15Bits Per Dimension
3
Feb 26, 2026
4.4FID
3
Feb 26, 2026
0.028W1 Point Features Mean (η, φ, r)
3
Feb 26, 2026
0.029W1: Point Features Error (η, φ, r)
3
Feb 26, 2026