Research map / Image generation
Editing and style transfer: research map
988 accepted papers on Editing and style transfer in Image generation, from ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026), grouped into 3 clusters and 12 approaches. The busiest year so far is 2025.
Within Image generation, its share shrank from 13.1% in 2023–24 to 9.6% in 2025–26 (273 → 393 papers at ICML, NeurIPS, CVPR and AAAI, the venues with data for all four years).
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Approaches and key papers
translation · style transfer · image image · 456 papers
Approaches in this cluster:
- Image-to-image translation (127 papers)
Translate images between domains using adversarial and cycle-based networks. - Texture and sketch synthesis (130 papers)
Synthesize stylized images, sketches, and textures with controllable disentanglement. - Arbitrary neural style transfer (124 papers)
Transfer artistic style with attention, feature transforms, and brushstroke models. - Virtual try-on (46 papers)
Warp and synthesize garments onto person images with flow and diffusion models. - Pose-guided person image synthesis (29 papers)
Generate person images in new poses using flows, texture, and diffusion.
Most cited and most cited since 2024:
- Image-To-Image Translation With Conditional Adversarial Networks (CVPR 2017 · 22,687 citations)
- Image Style Transfer Using Convolutional Neural Networks (CVPR 2016 · 6,164 citations)
- Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer (CVPR 2024 · 202 citations)
- OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On (AAAI 2025 · 84 citations)
image editing · edits · inversion · 362 papers
Approaches in this cluster:
- Instruction-based diffusion editing (151 papers)
Edit images from text instructions or exemplars using trained diffusion models. - Inversion-based diffusion editing (113 papers)
Edit real images through diffusion inversion and training-free manipulation. - Localized and attribute-specific editing (73 papers)
Edit specific objects and facial attributes while preserving background and conditions. - GAN inversion for editing (25 papers)
Invert real images into StyleGAN latent spaces for attribute editing.
Most cited and most cited since 2024:
- InstructPix2Pix: Learning To Follow Image Editing Instructions (CVPR 2023 · 1,395 citations)
- Blended Diffusion for Text-Driven Editing of Natural Images (CVPR 2022 · 755 citations)
- DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing (CVPR 2024 · 145 citations)
- An Edit Friendly DDPM Noise Space: Inversion and Manipulations (CVPR 2024 · 117 citations)
face · facial · identity · 170 papers
Approaches in this cluster:
- Identity-preserving face manipulation (88 papers)
Edit, swap, and reenact faces with GAN-based disentanglement while keeping identity. - Diffusion face generation and editing (61 papers)
Generate and edit identity-consistent faces using diffusion and 3D priors. - Talking face generation (21 papers)
Generate emotional, expressive talking-head video from audio and style signals.
Most cited and most cited since 2024:
- Face X-Ray for More General Face Forgery Detection (CVPR 2020 · 1,140 citations)
- MaskGAN: Towards Diverse and Interactive Facial Image Manipulation (CVPR 2020 · 1,085 citations)
- EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions (AAAI 2025 · 54 citations)
- Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style (AAAI 2024 · 28 citations)
Related topics in Image generation
- Autoregressive and latent generation (1,747)
- GANs (515)
- Super-resolution (429)
- Fast diffusion sampling (1,866)
- Image restoration (1,184)
- Text-to-image diffusion (1,310)