| Diffusion-GAN: Training GANs with Diffusion | ✓ Link | 1.43 | | | | | | Diffusion ProjectedGAN | 2022-06-05 |
| Projected GANs Converge Faster | ✓ Link | 1.52 | | | | 1.52 | | Projected GAN | 2021-11-01 |
| Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders | ✓ Link | 1.88 | | | | | 100 | TDPM+ (TTrunc=99) | 2022-02-19 |
| Diffusion Models Beat GANs on Image Synthesis | ✓ Link | 1.90 | | | | | | ADM (dropout) | 2021-05-11 |
| []() | | 2.56 | | | | | | StyleGAN | |
| []() | | 2.75 | | | | | | Patch Diffusion | |
| Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes | ✓ Link | 3.64 | | | | | | Unleashing Transformers | 2021-11-24 |
| Diffusion-GAN: Training GANs with Diffusion | ✓ Link | 3.65 | | | | | | Diffusion StyleGAN2 | 2022-06-05 |
| []() | | 4.54 | | | | | | iDDPM | |
| Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation | ✓ Link | 4.57 | | | | | | UDM (RVE) + ST | 2021-06-10 |
| Denoising Diffusion Probabilistic Models | ✓ Link | 4.9 | | | | | | Denoising Diffusion Probabilistic Model (large) | 2020-06-19 |
| Flow Matching in Latent Space | ✓ Link | 4.92 | | | | | | LFM | 2023-07-17 |
| Pseudo Numerical Methods for Diffusion Models on Manifolds | ✓ Link | 5.68 | | | | | | PNDM | 2022-02-20 |
| Denoising Diffusion Probabilistic Models | ✓ Link | 6.36 | | | | | | Denoising Diffusion Probabilistic Model | 2020-06-19 |
| Sliced Wasserstein Generative Models | ✓ Link | 8.0 | | | | | | PG-SWGAN | 2019-04-10 |
| []() | | 8.27 | | | | | | Consistency | |
| Progressive Growing of GANs for Improved Quality, Stability, and Variation | ✓ Link | 8.34 | | | | | | PGGAN | 2017-10-27 |
| Self-Supervised GANs via Auxiliary Rotation Loss | ✓ Link | 13.3 | | | | | | SS-GAN (sBN) | 2018-11-27 |
| StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks | ✓ Link | 35.61 | | | | | | StackGAN-v2 | 2017-10-19 |
| Diffusion Models Beat GANs on Image Synthesis | ✓ Link | | 59.64 | 0.85 | 0.75 | | | ADM (dropout, DINOv2) | 2021-05-11 |
| []() | | | 166.19 | 0.83 | 0.64 | | | iDDPM (DINOv2) | |
| Denoising Diffusion Probabilistic Models | ✓ Link | | 229.76 | 0.79 | 0.61 | | | Denoising Diffusion Probabilistic Model (large, DINOv2) | 2020-06-19 |
| []() | | | 239.79 | 0.85 | 0.41 | | | StyleGAN (DINOv2) | |
| []() | | | 428.99 | 0.83 | 0.23 | | | Consistency (DINOv2) | |
| Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes | ✓ Link | | 440.04 | 0.78 | 0.41 | | | Unleashing Transformers (DINOv2) | 2021-11-24 |
| Diffusion-GAN: Training GANs with Diffusion | ✓ Link | | 547.61 | 0.79 | 0.28 | | | Diffusion ProjectedGAN (DINOv2) | 2022-06-05 |
| Projected GANs Converge Faster | ✓ Link | | 636.35 | 0.80 | 0.23 | | | Projected GAN (DINOv2) | 2021-11-01 |
| Generative Adversarial Transformers | ✓ Link | | | | | 6.5085 | | GANformer | 2021-03-01 |
| Generative Adversarial Transformers | ✓ Link | | | | | 11.5255 | | StyleGAN2 | 2021-03-01 |
| Generative Adversarial Transformers | ✓ Link | | | | | 12.1567 | | GAN | 2021-03-01 |
| Generative Adversarial Transformers | ✓ Link | | | | | 14.0595 | | SAGAN | 2021-03-01 |
| Generative Adversarial Transformers | ✓ Link | | | | | 59.6333 | | VQGAN | 2021-03-01 |