Research map / Image generation / GANs
Adversarial Learning of Semantic Relevance in Text to Image Synthesis
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace auxiliary class prediction with semantic relevance regression | Text-SeGAN versus TAC-GAN · Oxford-102 | Inception score: 3.45$\pm$0.05 -> 3.65$\pm$0.06 | Helped |
| Use easy-to-hard negative sampling instead of hard negative sampling (ablation) | Text-SeGAN · Oxford-102 | Inception score: 3.33$\pm$0.03 -> 4.03$\pm$0.07 | Helped |
| Use easy-to-hard negative sampling instead of semi-easy negative sampling (ablation) | Text-SeGAN · Oxford-102 | Inception score: 3.69$\pm$0.04 -> 4.03$\pm$0.07 | Helped |
| Use easy-to-hard negative sampling instead of semi-hard negative sampling (ablation) | Text-SeGAN · Oxford-102 | Inception score: 3.70$\pm$0.04 -> 4.03$\pm$0.07 | Helped |
| Use semi-hard rather than semi-easy negative sampling (ablation) | Text-SeGAN · Oxford-102 | Inception score: 3.69$\pm$0.04 -> 3.70$\pm$0.04 | No clear effect |
| Use easy negative sampling (ablation) | Text-SeGAN · Oxford-102 | Inception score | No clear effect |
Closest papers by meaning
- Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network (CVPR 2018 · similarity 0.92)
- DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis (CVPR 2022 · similarity 0.91)
- Linear Semantics in Generative Adversarial Networks (CVPR 2021 · similarity 0.90)
- Unlocking Pre-trained Image Backbones for Semantic Image Synthesis (CVPR 2024 · similarity 0.89)
- Adversarial Text to Continuous Image Generation (CVPR 2024 · similarity 0.88)
- Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions (CVPR 2024 · similarity 0.88)
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