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Curated list of awesome GAN applications and demo
A curated list of awesome GAN applications and demonstrations.
Only awesome is awesome. This is a curation, not a collection.
This list is about what GANs are used for. General GAN papers whose contribution is the model itself (DCGAN, BEGAN, WGAN, …) are not included as entries — only genuine landmarks make the short list at the top. Pure theory / loss-function papers are out of scope; diffusion-only work is out of scope (GAN+diffusion hybrids are fine).
🏷 Legend: 📄 paper · 💻 code · 🌐 project/demo · 🎬 video · 📝 blog
🤝 Contributions welcome — see CONTRIBUTING.md.
| Paper | Venue | Year | Links |
|---|---|---|---|
| Generative Adversarial Networks | NeurIPS | 2014 | 📄 💻 |
| Unsupervised Representation Learning with Deep Convolutional GANs (DCGAN) | ICLR | 2016 | 📄 💻 |
| Improved Techniques for Training GANs | NeurIPS | 2016 | 📄 💻 |
| BEGAN: Boundary Equilibrium Generative Adversarial Networks | — | 2017 | 📄 💻 |
| Training Generative Adversarial Networks with Limited Data (StyleGAN2-ADA) | NeurIPS | 2020 | 📄 💻 |
| The GAN is dead; long live the GAN! A Modern GAN Baseline (R3GAN) | NeurIPS | 2024 | 📄 💻 |
| Title | Venue | Year | Links |
|---|---|---|---|
| Learning Chinese Character Style with Conditional GAN (zi2zi) | — | 2017 | 💻 📝 |
| Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning (AGIS-Net) | SIGGRAPH Asia | 2019 | 📄 💻 |
| Attribute2Font: Creating Fonts You Want From Attributes | SIGGRAPH | 2020 | 📄 💻 |
↑ back to Contents
| Title | Venue | Year | Links |
|---|---|---|---|
| Towards the Automatic Anime Characters Creation with GANs | — | 2017 | 📄 |
| AnimeGANv2: Photo to Anime Style Transfer | — | 2021 | 💻 |
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| Title | Venue | Year | Links |
|---|---|---|---|
| JoJoGAN: One Shot Face Stylization | ECCV | 2022 | 📄 💻 |
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| Title | Venue | Year | Links |
|---|---|---|---|
| Generative Visual Manipulation on the Natural Image Manifold (iGAN) | ECCV | 2016 | 📄 💻 |
| Neural Photo Editing with Introspective Adversarial Networks | ICLR | 2017 | 📄 💻 |
| Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold (DragGAN) | SIGGRAPH | 2023 | 📄 💻 |
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| Title | Venue | Year | Links |
|---|---|---|---|
| StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery | ICCV | 2021 | 📄 💻 |
| Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation (pSp) | CVPR | 2021 | 📄 💻 |
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| Title | Venue | Year | Links |
|---|---|---|---|
| TAC-GAN: Text Conditioned Auxiliary Classifier GAN | — | 2017 | 📄 💻 |
| StackGAN: Text to Photo-realistic Image Synthesis with Stacked GANs | ICCV | 2017 | 📄 💻 |
| Generative Adversarial Text to Image Synthesis | ICML | 2016 | 📄 💻 💻 |
| Learning What and Where to Draw | NeurIPS | 2016 | 📄 💻 |
| AttnGAN: Fine-Grained Text to Image Generation with Attentional GANs | CVPR | 2018 | 📄 💻 |
| GigaGAN: Scaling up GANs for Text-to-Image Synthesis | CVPR | 2023 | 📄 |
| StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis | ICML | 2023 | 📄 |
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GANs strike back in 2024–2026: adversarial objectives distill slow diffusion samplers into one/few-step image and video generators — where GANs are most alive in 2025–2026.
| Title | Venue | Year | Links |
|---|---|---|---|
| UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs | CVPR | 2024 | 📄 |
| Improved Distribution Matching Distillation for Fast Image Synthesis (DMD2) | NeurIPS | 2024 | 📄 💻 |
| SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation | arXiv | 2025 | 📄 💻 |
| Diffusion Adversarial Post-Training for One-Step Video Generation (Seaweed-APT) | ICML | 2025 | 📄 🌐 |
| Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation (Seaweed-APT2) | NeurIPS | 2025 | 📄 🌐 |
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| Title | Venue | Year | Links |
|---|---|---|---|
| Parametric 3D Exploration with Stacked Adversarial Networks (pix2vox) | — | 2016 | 💻 🎬 |
| Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (3D-GAN) | NeurIPS | 2016 | 📄 💻 🎬 |
| 3D Shape Induction from 2D Views of Multiple Objects | — | 2016 | 📄 |
| Fully Convolutional Refined Auto-Encoding GANs for 3D Multi Object Scenes | — | 2017 | 💻 📝 |
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| Title | Venue | Year | Links |
|---|---|---|---|
| Efficient Geometry-aware 3D Generative Adversarial Networks (EG3D) | CVPR | 2022 | 📄 💻 |
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| Title | Venue | Year | Links |
|---|---|---|---|
| Invertible Conditional GANs for Image Editing (IcGAN) | — | 2016 | 📄 💻 |
| Image De- |
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