Research map / Image generation / GANs
InsetGAN for Full-Body Image Generation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add joint optimization of a specialized face GAN and the full-body GAN | Full-body human face refinement · Generated humans vs unrefined images | user preference for refined results: 98% | Helped |
| Replace joint latent optimization with CoModGAN face inpainting | Full-body human face refinement · Generated humans vs unrefined images | user preference for refined results: 7% | Hurt |
| Apply face refinement with joint optimization | Full-body human generator · Full-body images, t=0.7 | FID: 26.67 -> 25.33 | Helped |
| Apply face refinement with joint optimization | Full-body human generator · Face crops, t=0.7 | FID: 27.14 -> 31.61 | Hurt |
| Apply face refinement with joint optimization | Full-body human generator · Full-body images, t=0.4 | FID: 71.90 -> 69.58 | Helped |
| Apply face refinement with joint optimization | Full-body human generator · Face crops, t=0.4 | FID: 66.61 -> 61.57 | Helped |
| Jointly optimize body and face latents instead of optimizing only the face latent (ablation) | Face refinement · Face-body composition | seam continuity | Helped |
| Use L1 rather than L2 losses (ablation) | InsetGAN latent optimization · Image composition | visual performance | Helped |
Closest papers by meaning
- BodyGAN: General-Purpose Controllable Neural Human Body Generation (CVPR 2022 · similarity 0.91)
- CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis (NeurIPS 2025 · similarity 0.87)
- RealisHuman: A Two-Stage Approach for Refining Malformed Human Parts in Generated Images (AAAI 2025 · similarity 0.86)
- gDNA: Towards Generative Detailed Neural Avatars (CVPR 2022 · similarity 0.86)
- XAGen: 3D Expressive Human Avatars Generation (NeurIPS 2023 · similarity 0.86)
- WeditGAN: Few-Shot Image Generation via Latent Space Relocation (AAAI 2024 · similarity 0.85)
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