Unconditional Image Generation on ImageNet 64
3.42BPDDist-Aug Sparse Transformer
Evaluation results
| Method | Links | |
|---|---|---|
| Dist-Aug Sparse TransformerPARAM=152.0M2021.06 | 3.42 | |
| Sparse TransformerPARAM=152.0M, TIME=7days2021.06 | 3.44 | |
| Axial Transformer2021.06 | 3.44 | |
| 2-resolution MRCNFPARAM=2.0M, TIME=42.302021.06 | 3.44 | |
| SPNPARAM=150.0M2021.06 | 3.53 | |
| 3-resolution MRCNFPARAM=2.0M, TIME=35.392021.06 | 3.55 | |
| Gated PixelCNNTIME=602021.06 | 3.57 | |
| PixelRNNTIME=602021.06 | 3.63 | |
| ANF2021.06 | 3.66 | |
| MaCowPARAM=122.5M2021.06 | 3.69 | |
| Flow++PARAM=73.5M2021.06 | 3.69 | |
| Parallel Multiscale2021.06 | 3.7 | |
| MEFPARAM=46.6M2021.06 | 3.73 | |
| Residual Flow2021.06 | 3.76 | |
| Wavelet FlowPARAM=96.0M, TIME=8222021.06 | 3.78 | |
| GlowPARAM=111.1M2021.06 | 3.81 | |
| EmergingPARAM=67.1M2021.06 | 3.81 | |
| Neural Spline FlowsPARAM=15.6M2021.06 | 3.82 | |
| RNODEPARAM=2.0M, TIME=256.4, GPU_Usage=4 GPUs2021.06 | 3.83 | |
| Woodbury NF2021.06 | 3.87 | |
| IDF2021.06 | 3.9 | |
| RealNVPPARAM=96.0M2021.06 | 3.98 |