Research map / Image generation / Editing and style transfer
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use full CoCosNet v2 rather than CoCosNet | exemplar-based image translation · DeepFashion | FID: 26.9 -> 22.5 | Helped |
| Use full CoCosNet v2 rather than CoCosNet | exemplar-based image translation · MetFaces | FID: 25.6 -> 23.3 | Helped |
| Use full CoCosNet v2 rather than CoCosNet | exemplar-based image translation · ADE20K | FID: 26.4 -> 25.2 | Helped |
| Use full CoCosNet v2 rather than CoCosNet | exemplar-based image translation · ADE20K-outdoor | FID: 42.4 -> 38.9 | Helped |
| Increase the largest correspondence resolution from 64^2 to 512^2 (ablation) | CoCosNet v2 · DeepFashion | L1: 82.25 -> 77.84 | Helped |
| Increase the largest correspondence resolution from 64^2 to 512^2 (ablation) | CoCosNet v2 · DeepFashion | PSNR: 28.03 -> 30.03 | Helped |
| Increase the largest correspondence resolution from 64^2 to 512^2 (ablation) | CoCosNet v2 · DeepFashion | SSIM: 0.75 -> 0.82 | Helped |
| Use PatchMatch propagation alone instead of propagation plus ConvGRU (ablation) | CoCosNet v2 · DeepFashion | L1: 81.97 -> 108.75 | Hurt |
| Use PatchMatch propagation alone instead of propagation plus ConvGRU (ablation) | CoCosNet v2 · DeepFashion | PSNR: 28.99 -> 20.40 | Hurt |
| Use ConvGRU alone instead of propagation plus ConvGRU (ablation) | CoCosNet v2 · DeepFashion | L1: 81.97 -> 94.21 | Hurt |
| Use propagation assisted with convolution instead of propagation plus ConvGRU (ablation) | CoCosNet v2 · DeepFashion | L1: 81.97 -> 87.83 | Hurt |
| Use propagation assisted with convolution instead of propagation plus ConvGRU (ablation) | CoCosNet v2 · DeepFashion | PSNR: 28.99 -> 23.54 | Hurt |
Closest papers by meaning
- Cross-Domain Correspondence Learning for Exemplar-Based Image Translation (CVPR 2020 · similarity 0.90)
- Marginal Contrastive Correspondence for Guided Image Generation (CVPR 2022 · similarity 0.88)
- PatchMatch-Based Neighborhood Consensus for Semantic Correspondence (CVPR 2021 · similarity 0.88)
- TransforMatcher: Match-to-Match Attention for Semantic Correspondence (CVPR 2022 · similarity 0.87)
- Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks (CVPR 2022 · similarity 0.87)
- SynthRGB-T: Language-Vision Guided Image Translation for Diversity Synthesis (CVPR 2026 · similarity 0.86)
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