Research map / Video / Video segmentation and tracking
Arbitrary Video Style Transfer via Multi-Channel Correlation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use MCCNet instead of Linear | frame-based arbitrary video style transfer · 14 rendered video clips | meanDiff: 0.0314 -> 0.0297 | Helped |
| Use MCCNet instead of Linear | frame-based arbitrary video style transfer · 14 rendered video clips | varDiff: 0.0061 -> 0.0054 | Helped |
| Use MCCNet instead of AdaIN | arbitrary image style transfer · Image inference, 256 | inference time: 0.007 -> 0.013 | Hurt |
| Use MCCNet instead of AdaIN | arbitrary image style transfer · Image inference, 512 | inference time: 0.008 -> 0.015 | Hurt |
| Use MCCNet instead of AdaIN | arbitrary image style transfer · Image inference, 1024 | inference time: 0.009 -> 0.019 | Hurt |
| Add multi-channel correlation across style channels (ablation) | MCCNet · Image style transfer | style pattern visibility | Helped |
| Add illumination loss (ablation) | MCCNet · Complex-light video | meanDiff: 0.0317 | Helped |
| Add illumination loss (ablation) | MCCNet · Video style transfer | frame difference | Helped |
| Use the deeper relu4-1 encoder-decoder instead of the relu3-1 shallow network (ablation) | MCCNet · Image style transfer | style pattern visibility | Helped |
| Use the deeper relu4-1 encoder-decoder instead of the relu3-1 shallow network (ablation) | MCCNet · Video style transfer | temporal coherence | No clear effect |
Closest papers by meaning
- Learning Linear Transformations for Fast Image and Video Style Transfer (CVPR 2019 · similarity 0.89)
- Real-Time Neural Style Transfer for Videos (CVPR 2017 · similarity 0.89)
- Universal Style Transfer via Feature Transforms (NeurIPS 2017 · similarity 0.88)
- CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting (NeurIPS 2025 · similarity 0.85)
- StyleMaster: Stylize Your Video with Artistic Generation and Translation (CVPR 2025 · similarity 0.85)
- Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network (CVPR 2024 · similarity 0.85)
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