Research map / Detection and segmentation / Open-set and few-shot detection
Context-Aware Layout to Image Generation With Enhanced Object Appearance
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add context-aware feature transformation (ablation) | LostGAN-v1 · COCO-Thing-Stuff | Inception Score: 13.8 $\pm$ 0.4 -> 14.97 $\pm$ 0.27 | Helped |
| add context-aware feature transformation (ablation) | LostGAN-v1 · COCO-Thing-Stuff | FID: 29.65 -> 24.05 | Helped |
| add location-sensitive Gram-matrix appearance representation (ablation) | LostGAN-v1 · COCO-Thing-Stuff | Inception Score: 13.8 $\pm$ 0.4 -> 15.28 $\pm$ 0.24 | Helped |
| add location-sensitive Gram-matrix appearance representation (ablation) | LostGAN-v1 · COCO-Thing-Stuff | FID: 29.65 -> 21.73 | Helped |
| add context-aware transformation and Gram-matrix appearance representation (ablation) | LostGAN-v1 · COCO-Thing-Stuff | Inception Score: 13.8 $\pm$ 0.4 -> 15.62 $\pm$ 0.05 | Helped |
| add context-aware transformation and Gram-matrix appearance representation (ablation) | LostGAN-v1 · COCO-Thing-Stuff | FID: 29.65 -> 22.32 | Helped |
Closest papers by meaning
- Object-Centric Image Generation from Layouts (AAAI 2021 · similarity 0.91)
- Image Generation From Layout (CVPR 2019 · similarity 0.90)
- Exploiting Relationship for Complex-scene Image Generation (AAAI 2021 · similarity 0.90)
- Generating Multiple Objects at Spatially Distinct Locations (ICLR 2019 · similarity 0.90)
- Learning Object Context for Novel-View Scene Layout Generation (CVPR 2022 · similarity 0.89)
- Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation (NeurIPS 2024 · similarity 0.88)
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