Research map / Image generation / Editing and style transfer
Unsupervised Learning of Artistic Styles with Archetypal Style Analysis
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the original content image at each layer when updating stylized features | Universal style transfer update · Archetypal style transfer | content detail preservation | Helped |
| Set γ=δ and vary their shared value | Archetypal style transfer · Archetypal style transfer | visual stylization strength | Mixed |
| Modify archetypal decomposition coefficients to increase an archetype's contribution | Archetypal style manipulation · Style enhancement examples | strength of the selected archetypal style | Helped |
Closest papers by meaning
- A Learned Representation For Artistic Style (ICLR 2017 · similarity 0.88)
- The Shape of Art History in the Eyes of the Machine (AAAI 2018 · similarity 0.86)
- Artistic Style Discovery With Independent Components (CVPR 2022 · similarity 0.86)
- Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models (NeurIPS 2024 · similarity 0.84)
- ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank (AAAI 2024 · similarity 0.84)
- Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints (ICLR 2025 · similarity 0.83)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.