First of all, we thank following repositories for their work on high-quality image synthesis
Compared to InterFaceGAN repo, this repo optimizes the common API for generator, improves the pipeline to convert tensorflow weights to pytorch version, and involves model for StyleGAN2.
Pre-trained tensorflow weights (either officially released or trained by ourselves) can be found from following links. Please download them and save to folder pretrain/tensorflow/ before using.
NOTE: The officially released models are simply mirrored by us from the above three repositories, just in case they are not available from the official links.
| PGGAN Official | |||
|---|---|---|---|
| Face | |||
| celebahq-1024x1024 | |||
| Indoor Scene | |||
| bedroom-256x256 | livingroom-256x256 | diningroom-256x256 | kitchen-256x256 |
| Outdoor Scene | |||
| churchoutdoor-256x256 | tower-256x256 | bridge-256x256 | |
| Other Scene | |||
| restaurant-256x256 | classroom-256x256 | conferenceroom-256x256 | |
| Animal | |||
| person-256x256 | cat-256x256 | dog-256x256 | bird-256x256 |
| horse-256x256 | sheep-256x256 | cow-256x256 | |
| Transportation | |||
| car-256x256 | bicycle-256x256 | motorbike-256x256 | bus-256x256 |
| train-256x256 | boat-256x256 | airplane-256x256 | |
| Furniture | |||
| bottle-256x256 | chair-256x256 | pottedplant-256x256 | tvmonitor-256x256 |
| diningtable-256x256 | sofa-256x256 |
| StyleGAN Official | |||
|---|---|---|---|
| Model (Dataset) | Training Samples | Training Duration (K Images) | FID |
| ffhq-1024x1024 | 70,000 | 25,000 | 4.40 |
| celebahq-1024x1024 | 30,000 | 25,000 | 5.06 |
| bedroom-256x256 | 3,033,042 | 70,000 | 2.65 |
| cat-256x256 | 1,657,266 | 70,000 | 8.53 |
| car-512x384 | 5,520,756 | 46,000 | 3.27 |
| StyleGAN Ours | |||
|---|---|---|---|
| Model (Dataset) | Training Samples | Training Duration (K Images) | FID |
| Face | |||
| ffhq-256x256 | 70,000 | 25,000 | 5.70 |
| ffhq-512x512 | 70,000 | 25,000 | 5.15 |
| LSUN Indoor Scene | |||
| livingroom-256x256 | 1,315,802 | 30,000 | 5.16 |
| diningroom-256x256 | 657,571 | 25,000 | 4.13 |
| kitchen-256x256 | 1,000,000 | 30,000 | 5.06 |
| LSUN Indoor Scene Mixture | |||
| apartment-256x256 | 4 * 200,000 | 60,000 | 4.18 |
| LSUN Outdoor Scene | |||
| churchoutdoor-256x256 | 126,227 | 30,000 | 4.82 |
| tower-256x256 | 708,264 | 30,000 | 5.99 |
| bridge-256x256 | 818,687 | 25,000 | 6.42 |
| LSUN Other Scene | |||
| restaurant-256x256 | 626,331 | 50,000 | 4.03 |
| classroom-256x256 | 168,103 | 50,000 | 10.10 |
| conferenceroom-256x256 | 229,069 | 50,000 | 6.20 |
| StyleGAN2 Official | |||
|---|---|---|---|
| Model (Dataset) | Training Samples | Training Duration (K Images) | FID |
| ffhq-1024x1024 | 70,000 | 25,000 | 2.84 |
| church-256x256 | 126,227 | 48,000 | 3.86 |
| cat-256x256 | 1,657,266 | 88,000 | 6.93 |
| horse-256x256 | 2,000,340 | 100,000 | 3.43 |
| car-512x384 | 5,520,756 | 57,000 | 2.32 |