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Fix s3 readme with refined metrics #484

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Fix s3 readme with refined metrics #484

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bf91a5e
fix s3 readme
plyfager Nov 24, 2022
90c7bdf
resolve conflict
plyfager Nov 24, 2022
4b43138
fix lint
plyfager Nov 24, 2022
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12 changes: 5 additions & 7 deletions configs/styleganv3/README.md
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Expand Up @@ -36,18 +36,16 @@ For user convenience, we also offer the converted version of official weights.

### Paper Settings

| Model | Dataset | Iter | FID50k | Config | Log | Download |
| :-------------: | :---------------: | :----: | :---------------: | :----------------------------------------------: | :--------------------------------------------: | :-------------------------------------------------: |
| stylegan3-t | ffhq 1024x1024 | 490000 | 3.37<sup>\*</sup> | [config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/styleganv3/stylegan3_t_noaug_fp16_gamma32.8_ffhq_1024_b4x8.py) | [log](https://download.openmmlab.com/mmgen/stylegan3/stylegan3_t_noaug_fp16_gamma32.8_ffhq_1024_b4x8_20220322_090417.log.json) | [model](https://download.openmmlab.com/mmgen/stylegan3/stylegan3_t_noaug_fp16_gamma32.8_ffhq_1024_b4x8_best_fid_iter_490000_20220401_120733-4ff83434.pth) |
| stylegan3-t-ada | metface 1024x1024 | 130000 | 15.09 | [config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/styleganv3/stylegan3_t_ada_fp16_gamma6.6_metfaces_1024_b4x8.py) | [log](https://download.openmmlab.com/mmgen/stylegan3/stylegan3_t_ada_fp16_gamma6.6_metfaces_1024_b4x8_20220328_142211.log.json) | [model](https://download.openmmlab.com/mmgen/stylegan3/stylegan3_t_ada_fp16_gamma6.6_metfaces_1024_b4x8_best_fid_iter_130000_20220401_115101-f2ef498e.pth) |

Note<sup>\*</sup>: This setting still needs a few days to run through, we put out currently the best checkpoint, and we will update the results the first time on the end of the experiment.
| Model | Dataset | Iter | FID50k | Config | Log | Download |
| :-------------: | :---------------: | :----: | :----: | :--------------------------------------------------: | :-----------------------------------------------: | :-----------------------------------------------------: |
| stylegan3-t | ffhq 1024x1024 | 490000 | 3.37 | [config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/styleganv3/stylegan3_t_noaug_fp16_gamma32.8_ffhq_1024_b4x8.py) | [log](https://download.openmmlab.com/mmgen/stylegan3/stylegan3_t_noaug_fp16_gamma32.8_ffhq_1024_b4x8_20220322_090417.log.json) | [model](https://download.openmmlab.com/mmgen/stylegan3/stylegan3_t_noaug_fp16_gamma32.8_ffhq_1024_b4x8_best_fid_iter_490000_20220401_120733-4ff83434.pth) |
| stylegan3-t-ada | metface 1024x1024 | 130000 | 15.09 | [config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/styleganv3/stylegan3_t_ada_fp16_gamma6.6_metfaces_1024_b4x8.py) | [log](https://download.openmmlab.com/mmgen/stylegan3/stylegan3_t_ada_fp16_gamma6.6_metfaces_1024_b4x8_20220328_142211.log.json) | [model](https://download.openmmlab.com/mmgen/stylegan3/stylegan3_t_ada_fp16_gamma6.6_metfaces_1024_b4x8_best_fid_iter_130000_20220401_115101-f2ef498e.pth) |

### Experimental Settings

| Model | Dataset | Iter | FID50k | Config | Log | Download |
| :---------: | :----------: | :----: | :----: | :-----------------------------------------------------: | :--------------------------------------------------: | :--------------------------------------------------------: |
| stylegan3-t | ffhq 256x256 | 740000 | 7.65 | [config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/styleganv3/stylegan3_t_noaug_fp16_gamma2.0_ffhq_256_b4x8.py) | [log](https://download.openmmlab.com/mmgen/stylegan3/stylegan3_t_noaug_fp16_gamma2.0_ffhq_256_b4x8_20220323_144815.log.json) | [model](https://download.openmmlab.com/mmgen/stylegan3/stylegan3_t_noaug_fp16_gamma2.0_ffhq_256_b4x8_best_fid_iter_740000_20220401_122456-730e1fba.pth) |
| stylegan3-t | ffhq 256x256 | 740000 | 4.51 | [config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/styleganv3/stylegan3_t_noaug_fp16_gamma2.0_ffhq_256_b4x8.py) | [log](https://download.openmmlab.com/mmgen/stylegan3/stylegan3_t_noaug_fp16_gamma2.0_ffhq_256_b4x8_20220323_144815.log.json) | [model](https://download.openmmlab.com/mmgen/stylegan3/stylegan3_t_noaug_fp16_gamma2.0_ffhq_256_b4x8_best_fid_iter_740000_20220401_122456-730e1fba.pth) |

### Converted Weights

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4 changes: 2 additions & 2 deletions configs/styleganv3/metafile.yml
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Expand Up @@ -15,7 +15,7 @@ Models:
Results:
- Dataset: FFHQ
Metrics:
FID50k: 3.37<sup>\</sup>
FID50k: 3.37
Iter: 490000.0
Log: '[log]'
Task: Unconditional GANs
Expand All @@ -41,7 +41,7 @@ Models:
Results:
- Dataset: FFHQ
Metrics:
FID50k: 7.65
FID50k: 4.51
Iter: 740000.0
Log: '[log]'
Task: Unconditional GANs
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