Research map / Image generation / Editing and style transfer
Deep Photo Style Transfer
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add locally affine photorealism regularization | Neural Style · photographic style transfer | photorealism | Helped |
| add semantic segmentation guidance to the style loss | Deep Photo Style Transfer · photographic style transfer with differing scene content | semantic accuracy | Helped |
| use locally varying color transformations rather than a global color mapping | global color transfer methods · style transfer requiring spatially varying changes | style faithfulness | Helped |
| use Deep Photo Style Transfer instead of global methods | style transfer user study · style transfer user study | style preference: more than 80% | Helped |
| set photorealism regularization too low (ablation) | Deep Photo Style Transfer · photographic style transfer | photorealism | Hurt |
| set photorealism regularization too high (ablation) | Deep Photo Style Transfer · photographic style transfer | style faithfulness | Hurt |
| optimize the full objective directly instead of using two-stage optimization (ablation) | Deep Photo Style Transfer · photographic style transfer | local color transfer | Hurt |
| retain fine-grained semantic classes instead of merging similar classes (ablation) | semantic segmentation guidance · photographic style transfer | output quality | Hurt |
Closest papers by meaning
- Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer (CVPR 2017 · similarity 0.91)
- Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer (AAAI 2022 · similarity 0.90)
- A Flexible Convolutional Solver for Fast Style Transfers (CVPR 2019 · similarity 0.90)
- ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank (AAAI 2024 · similarity 0.86)
- Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer (CVPR 2024 · similarity 0.86)
- FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields (AAAI 2024 · similarity 0.86)
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