AI Paper Atlas

Research map / Image generation / Editing and style transfer

Localized and attribute-specific editing

Edit specific objects and facial attributes while preserving background and conditions.

73 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2019–2026) · an approach in Editing and style transfer, keyword cluster “image editing · edits · inversion”

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.

18 papers in 2023–24 and 42 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic grew, from 6.6% to 10.7%.

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: 0172018: 0182019: 1192020: 4202021: 2212022: 6222023: 5232024: 13242025: 20252026: 2226

Most cited paper of each year

Earliest papers here

What has been tried

47 papers here report 490 measured changes (a component added, removed or swapped, compared with a baseline): helped 77%, no clear effect 4%, hurt 17%, mixed 2%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
Add adaptive template feature updatingHuman face model · CCSD (×10)0.82 -> 0.35HelpedFreeDrag: Feature Dragging for Reliable Point-based Image Editing (CVPR 2024 · 20 citations)
Use ERLM-predicted region location instead of DiffEdit region locationDFMM-Spotlight expanded test set · FID12.92 -> 10.77HelpedTexFit: Text-Driven Fashion Image Editing with Diffusion Models (AAAI 2024 · 18 citations)
add the frequency stream to the RGB streamCIMD-R · F10.330 -> 0.335HelpedA New Benchmark and Model for Challenging Image Manipulation Detection (AAAI 2024 · 17 citations)
replace reference U-Net with CLIP EncoderPart composition · SSIM0.70 -> 0.66HurtZero-shot Image Editing with Reference Imitation (NeurIPS 2024 · 17 citations)
Remove KV injection during texture samplingNon-stationary textures · visual qualityHurtGenerating Non-Stationary Textures using Self-Rectification (CVPR 2024 · 11 citations)
add character perceptual loss (CPLoss)HDR28K testing set · FID0.8416 -> 0.7499HelpedPredicting the Original Appearance of Damaged Historical Documents (AAAI 2025 · 8 citations)
add the multi-resolution fieldInterHand2.6M, 7 unseen poses · PSNR27.11 -> 27.64HelpedOHTA: One-shot Hand Avatar via Data-driven Implicit Priors (CVPR 2024 · 8 citations)
Add diffusion-process optimization to facial-recognition perturbation (CVL -> CVL-D)InstructPix2Pix edits · FR0.667 -> 0.380HelpedEdit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing (CVPR 2025 · 7 citations)
Replace counterfactual abduction with null-text inversionFashion image editing · preservation of source-image detailsHurtText-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction (CVPR 2025 · 7 citations)
Add counterfactual fine-tuning to HVAEADNI · model performanceHurtBenchmarking Counterfactual Image Generation (NeurIPS 2024 · 5 citations)
add superpixel segmentationNoto Emoji · MSE0.00085 -> 0.00032HelpedLess is More: Efficient Image Vectorization with Adaptive Parameterization (CVPR 2025 · 4 citations)
Optimize the editing direction instead of using the naïve directionFace pose rotation · yaw-direction correlation R²0.744 -> 0.846HelpedEdit One for All: Interactive Batch Image Editing (CVPR 2024 · 4 citations)

What reviewers will expect

Datasets and baselines named in the 24 papers of this approach from 2025–2026 that have a full-text summary. Leaving out the common ones is a frequent review question.

Baselines

  • InstructPix2Pix · 3 of 24 papers
  • BrushNet · 2 of 24 papers
  • MasaCtrl · 2 of 24 papers
  • MagicBrush · 2 of 24 papers
  • LIVE · 2 of 24 papers
  • O&R · 2 of 24 papers
  • PhotoGuard · 2 of 24 papers
  • EditShield · 2 of 24 papers

Recent preprints

Loading recent arXiv preprints…

    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 60 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 33 key papersOpen the topic in the interactive map

    Get alerts. Describe your idea in scime atlas and save it (free scime account): you get a weekly email when new preprints land close to it.

    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).

    Get the next scime Dispatch and a monthly field update

    Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy