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[Feature] Update Biggan benchmark with biggan trained on imagenet of the best metrics #107

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merged 11 commits into from
Sep 6, 2021
Merged

[Feature] Update Biggan benchmark with biggan trained on imagenet of the best metrics #107

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6739fd7
Add BigGAN's benchmark
Jul 30, 2021
f458fa7
Merge branch 'master' of github.com:open-mmlab/mmgeneration into bigg…
Jul 30, 2021
5a46863
Modify benchmark and add more configs for users
Jul 30, 2021
5f3e8e5
fix lint
Jul 30, 2021
9a0f738
fix pr#80
Aug 2, 2021
3611bc8
solve conflict
Aug 2, 2021
e113078
Add BigGAN's README to homepage
Aug 2, 2021
197bf34
Merge branch 'biggan-benchmark' of github.com:plyfager/mmgeneration i…
Aug 2, 2021
a2496db
Add BigGAN's README link to the homepage (chinese version)
Aug 2, 2021
127058a
Merge branch 'master' of github.com:open-mmlab/mmgeneration into bigg…
Sep 6, 2021
0def821
update biggan-benchmark
Sep 6, 2021
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4 changes: 2 additions & 2 deletions configs/biggan/README.md
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Expand Up @@ -29,10 +29,10 @@ We have finished training `BigGAN` in `Cifar10` (32x32) and are aligning trainin
</div>

Evaluation of our trained BIgGAN.
| Models | Dataset | FID (Iter) | IS (Iter) | Config | Download |
| Models | Dataset | Best FID (Iter) | Best IS (Iter) | Config | Download |
|:------------:|:-------:|:--------------:|:---------------:|:------:|:----------:|
| BigGAN 32x32 | CIFAR10 | 9.78(390000) | 8.70(390000) | [config](https://github.com/open-mmlab/mmgeneration/blob/master/configs/biggan/biggan_cifar10_32x32_b25x2_500k.py) | [model](https://download.openmmlab.com/mmgen/biggan/biggan_cifar10_32x32_b25x2_500k_20210728_110906-08b61a44.pth)\|[log](https://download.openmmlab.com/mmgen/biggan/biggan_cifar10_32_b25x2_500k_20210706_171051.log.json) |
| BigGAN 128x128 | ImageNet1k | 12.32(1150000) | 72.7(1150000) | [config](https://github.com/open-mmlab/mmgeneration/blob/master/configs/biggan/biggan_imagenet1k_128x128_b32x8_1500k.py) | [model](https://download.openmmlab.com/mmgen/biggan/biggan_imagenet1k_128x128_b32x8_1150k_20210730_124753-b14026b7.pth)\|[log](https://download.openmmlab.com/mmgen/biggan/biggan_imagenet1k_128x128_b32x8_1500k_20210726_224316.log.json) |
| BigGAN 128x128 | ImageNet1k | 10.02(1449000) | 86.8(1449000) | [config](https://github.com/open-mmlab/mmgeneration/blob/master/configs/biggan/biggan_imagenet1k_128x128_b32x8_1500k.py) | [model](https://download.openmmlab.com/mmgen/biggan/biggan_imagenet1k_128x128_b32x8_1449000_20210906_141519-f9128faf.pth?versionId=CAEQMhiBgIDn.ILn3RciIDFiMTZhZjIxYzA2MjQxMTJiMDQzZjQyNWQ5YTVkY2Jl)\|[log](https://download.openmmlab.com/mmgen/biggan/biggan_imagenet1k_128x128_b32x8_1449000_20210906_141519-f9128faf.log.json?versionId=CAEQMhiBgMD5.dfo3RciIDE5OThmOWM0ZDAxYjQxMWJiNTEzMTFlMzAxZWJkOGFm) |

Note: This is an unfinished version (1150k iter) of BigGAN trained on `ImageNet1k`. The model with the best performance is still on the way.

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