Semantic Image Synthesis via Class-Adaptive Cross-Attention
In semantic image synthesis the state of the art is dominated by methods that use customized variants of the SPatially-Adaptive DE-normalization (SPADE) layers, which allow for good visual generation quality and editing versatility. By design, such layers learn pixel-wise modulation parameters to de...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IEEE
2025-01-01
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| Serier: | IEEE Access |
| Fag: | |
| Online adgang: | https://ieeexplore.ieee.org/document/10841835/ |
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