Unlocking Pre-trained Image Backbones for Semantic Image Synthesis | | 76.3 | 38.2 | | | | | | DP-SIMS (ConvNext-L) | 2023-12-20 |
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis | ✓ Link | 73.6 | 44.1 | | | | | | DP-GAN | 2022-10-08 |
You Only Need Adversarial Supervision for Semantic Image Synthesis | ✓ Link | 69.3 | 47.7 | | | | | 0.275 | OASIS | 2020-12-08 |
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects | ✓ Link | 66 | 54.2 | | | | 82.5% | | SPADE + SESAME | 2020-04-10 |
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis | ✓ Link | 65.5 | 54.3 | | | | 82.3% | 0.073 | CC-FPSE | 2019-10-15 |
Focal Frequency Loss for Image Reconstruction and Synthesis | ✓ Link | 64.2 | 59.5 | | | | 82.5% | | SPADE + FFL | 2020-12-23 |
Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis | | 63.1 | 52.1 | 93.5 | | | | | CC-FPSE-AUG | 2020-11-25 |
Semantic Image Synthesis with Spatially-Adaptive Normalization | ✓ Link | 62.3 | 71.8 | | | | 81.9% | | SPADE | 2019-03-18 |
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs | ✓ Link | 58.3 | 95 | | | | 81.4% | | pix2pixHD | 2017-11-30 |
Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis | | 58 | 72.7 | 92.7 | | | | | Pix2PixHD-AUG | 2020-11-25 |
Photographic Image Synthesis with Cascaded Refinement Networks | | 52.4 | 104.7 | | | | 77.1% | | CRN | 2017-07-28 |
Semi-parametric Image Synthesis | ✓ Link | 47.2 | 49.7 | | | | 75.5% | | SIMS | 2018-04-29 |
USIS: Unsupervised Semantic Image Synthesis | ✓ Link | 44.78 | 53.67 | | | | | | USIS | 2021-09-29 |
Wavelet-based Unsupervised Label-to-Image Translation | ✓ Link | 42.32 | 50.14 | | | | | | USIS-Wavelet | 2023-05-16 |
Semantic Bottleneck Scene Generation | ✓ Link | | 60.39 | | | | | | SB-GAN | 2019-11-26 |
Image-to-Image Translation with Conditional Adversarial Networks | ✓ Link | | | | 0.18 | 25.0 | 71.0 | 0 | pix2pix | 2016-11-21 |
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks | ✓ Link | | | | 0.11 | 17% | 52% | | CycleGAN | 2017-03-30 |
Coupled Generative Adversarial Networks | ✓ Link | | | | 0.06 | 10% | 40% | | CoGAN | 2016-06-24 |
Learning from Simulated and Unsupervised Images through Adversarial Training | ✓ Link | | | | 0.04 | 10% | 20% | | SimGAN | 2016-12-22 |
Adversarially Learned Inference | ✓ Link | | | | 0.02 | 6% | 19% | | BiGAN | 2016-06-02 |
Diverse Semantic Image Synthesis via Probability Distribution Modeling | ✓ Link | | | | | | | 0.248 | INADE | 2021-03-11 |