Research map / Image generation / Editing and style transfer
DualAST: Dual Style-Learning Networks for Artistic Style Transfer
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| learn holistic artist-style and specific artwork-style jointly | DualAST · User study | Visual quality: 0.305 | Helped |
| learn holistic artist-style and specific artwork-style jointly | DualAST · User study | Style controllability: 0.182 | Mixed |
| remove holistic artist-style learning (ablation) | DualAST · Artistic style transfer | Visual quality | Hurt |
| add specific artwork-style learning from the reference image (ablation) | DualAST · Artistic style transfer | Style controllability | Helped |
| add the style-aware content adversarial loss (ablation) | DualAST · Artistic style transfer | Content preservation | Helped |
| replace the Style-Control Block with a concatenation layer (ablation) | DualAST · Artistic style transfer | Style transfer quality | Hurt |
| replace the Style-Control Block with AdaIN (ablation) | DualAST · Artistic style transfer | Style transfer quality | Hurt |
Closest papers by meaning
- Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer (CVPR 2022 · similarity 0.90)
- Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer (CVPR 2017 · similarity 0.90)
- ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank (AAAI 2024 · similarity 0.90)
- Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer (AAAI 2023 · similarity 0.90)
- Artistic Style Transfer with Internal-external Learning and Contrastive Learning (NeurIPS 2021 · similarity 0.90)
- Z*: Zero-shot Style Transfer via Attention Reweighting (CVPR 2024 · similarity 0.87)
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