Research map / 3D vision / 3D generation
Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add residual flow correction (ablation) | Multi-source pose-guided image generation · DeepFashion, K=2 | FID: 10.292 -> 10.135 | Helped |
| Add residual flow correction (ablation) | Multi-source pose-guided image generation · Market-1501, K=2 | FID: 17.701 -> 15.716 | Helped |
| Add residual flow correction (ablation) | Multi-source pose-guided image generation · Market-1501, K=2 | LPIPS: 0.2679 -> 0.2668 | Helped |
| Add residual flow correction (ablation) | Multi-source pose-guided image generation · Market-1501, K=2 | MLPIPS: 0.1483 -> 0.1339 | Helped |
| Add attention maps to weight source regions (ablation) | Multi-source pose-guided image generation · DeepFashion, K=2 | FID: 10.835 -> 10.135 | Helped |
| Add attention maps to weight source regions (ablation) | Multi-source pose-guided image generation · Market-1501, K=2 | FID: 15.820 -> 15.716 | Mixed |
| Add attention maps to weight source regions (ablation) | Multi-source pose-guided image generation · DeepFashion, K=2 | LPIPS: 0.1774 -> 0.1766 | Helped |
| Add occlusion maps for invisible or unreliable regions (ablation) | Multi-source pose-guided image generation · DeepFashion, K=2 | FID: 10.421 -> 10.135 | Helped |
| Add occlusion maps for invisible or unreliable regions (ablation) | Multi-source pose-guided image generation · DeepFashion, K=2 | LPIPS: 0.1830 -> 0.1766 | Helped |
| Add occlusion maps for invisible or unreliable regions (ablation) | Multi-source pose-guided image generation · Market-1501, K=2 | FID: 15.249 -> 15.716 | Hurt |
| Add occlusion maps for invisible or unreliable regions (ablation) | Multi-source pose-guided image generation · Market-1501, K=2 | LPIPS: 0.2689 -> 0.2668 | Helped |
| Add occlusion maps for invisible or unreliable regions (ablation) | Multi-source pose-guided image generation · Market-1501, K=2 | MLPIPS: 0.1349 -> 0.1339 | Helped |
Closest papers by meaning
- Disentangled Pose and Appearance Guidance for Multi-Pose Generation (CVPR 2025 · similarity 0.85)
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- PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF (AAAI 2024 · similarity 0.84)
- NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images (CVPR 2025 · similarity 0.84)
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- SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation (NeurIPS 2025 · similarity 0.83)
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