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SotA/Methodology/Density Estimation/CIFAR-10

Density Estimation on CIFAR-10

Metric: NLL (bits/dim) (lower is better)

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#Model↕NLL (bits/dim)▲AugmentationsPaperDate↕Code
1i-DODE2.42NoImproved Techniques for Maximum Likelihood Estim...2023-05-06Code
2MULAN2.55NoDiffusion Models With Learned Adaptive Noise2023-12-20Code
3BSI2.64NoGenerative Modeling with Bayesian Sample Inference2025-02-11Code
4VDM2.65NoVariational Diffusion Models2021-07-01Code
5DVP-VAE2.73NoHierarchical VAE with a Diffusion-based VampPrior2024-12-02Code
6Image Transformer2.9NoImage Transformer2018-02-15-
7Pixel CNN ++2.92NoPixelCNN++: Improving the PixelCNN with Discreti...2017-01-19Code
8score SDE2.99NoScore-Based Generative Modeling through Stochast...2020-11-26Code
9Flow matching2.99NoFlow Matching for Generative Modeling2022-10-06Code
10Pixel CNN3.03NoConditional Image Generation with PixelCNN Decod...2016-06-16Code
11RNODE3.38NoHow to train your neural ODE: the world of Jacob...2020-02-07Code
12FFJORD3.4NoFFJORD: Free-form Continuous Dynamics for Scalab...2018-10-02Code
13MRCNF3.54NoMulti-Resolution Continuous Normalizing Flows2021-06-15Code
14DDPM3.69NoDenoising Diffusion Probabilistic Models2020-06-19Code