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Research map / Image generation / Editing and style transfer

Texture and sketch synthesis

Synthesize stylized images, sketches, and textures with controllable disentanglement.

130 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2017–2026) · an approach in Editing and style transfer, keyword cluster “translation · style transfer · image image”

State History Tried Checklist Preprints Who Export

Where it stands

Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.

32 papers in 2023–24 and 51 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic grew, from 11.7% to 13.0%.

How this is decided

A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.

How it got here

2016: 0162017: 4172018: 4182019: 5192020: 6202021: 18212022: 10222023: 14232024: 18242025: 28252026: 2326

Most cited paper of each year

Earliest papers here

What has been tried

101 papers here report 995 measured changes (a component added, removed or swapped, compared with a baseline): helped 75%, no clear effect 4%, hurt 18%, mixed 3%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
add MCA to the baselineUFUC average · FID8.1153 -> 7.8419HelpedFontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning (AAAI 2024 · 82 citations)
add direct shading, including cast-shadow information, instead of N-dot-L shadingLighting control test set · L-PSNR6.43 ± 2.20 -> 13.04 ± 3.57HelpedLightIt: Illumination Modeling and Control for Diffusion Models (CVPR 2024 · 26 citations)
replace the traditional DDPM process with the proposed latent diffusion processUFUC · RMSE0.2676 -> 0.2475HelpedGenerate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models (CVPR 2024 · 23 citations)
Add SPN with λSPN=0.1 instead of omitting SPNstylization evaluation · ArtFID36.41 -> 34.89HelpedOne-Shot Structure-Aware Stylized Image Synthesis (CVPR 2024 · 17 citations)
Add PCEM to the baseline generation model40 real IDs, open-set train:test = 1:1 · TAR@FAR=1e-60.4144 -> 0.5525HelpedPCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation (AAAI 2024 · 14 citations)
combine Canny and HED conditions rather than use either condition aloneCOCO-stuff validation · CF46.99, 45.28 -> 47.18HelpedAutomatic Controllable Colorization via Imagination (CVPR 2024 · 13 citations)
add progressive patch shuffleMangaNinja benchmark · PSNR18.02 -> 19.72HelpedMangaNinja: Line Art Colorization with Precise Reference Following (CVPR 2025 · 11 citations)
Add the cascaded module using the global mask instead of only the base networkiHarmony4 test · PSNR36.82 -> 36.98HelpedFRIH: Fine-Grained Region-Aware Image Harmonization (AAAI 2024 · 11 citations)
Add the Emotion adapterAIM image editing · image editing qualityHelpedEmoEdit: Evoking Emotions through Image Manipulation (CVPR 2025 · 9 citations)
replace TPS transformations with CPAB transformationsTaiChiHD · AED0.151 -> 0.123HelpedContinuous Piecewise-Affine Based Motion Model for Image Animation (AAAI 2024 · 9 citations)
Add Img2Img refinementTexture refinement evaluation · FID (↓)86.25 -> 82.05HelpedGenesisTex: Adapting Image Denoising Diffusion to Texture Space (CVPR 2024 · 9 citations)
add IHA, SSA, and SCE to the baselineUFSC and UFUC, 3-shot · FID8.2656 -> 8.4922HurtIF-Font: Ideographic Description Sequence-Following Font Generation (NeurIPS 2024 · 7 citations)

What reviewers will expect

Datasets and baselines named in the 30 papers of this approach from 2025–2026 that have a full-text summary. Leaving out the common ones is a frequent review question.

Datasets

  • 4SKST · 2 of 30 papers
  • WikiArt · 2 of 30 papers

Baselines

  • InstantStyle · 5 of 30 papers
  • IP-Adapter · 5 of 30 papers
  • StyleID · 3 of 30 papers
  • MUNIT · 2 of 30 papers
  • VCT · 2 of 30 papers
  • PowerPaint · 2 of 30 papers
  • BLIP-Diffusion · 2 of 30 papers
  • ControlNet · 2 of 30 papers

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 83 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 39 key papersOpen the topic in the interactive map

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    Same keyword cluster

    Elsewhere in the topic

    Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).

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