The repository is based on our survey Diffusion Model-Based Image Editing: A Survey.
Yi Huang, Jiancheng Huang, Yifan Liu, Mingfu Yan, Jiaxi Lv, Jianzhuang Liu, Wei Xiong, He Zhang, Liangliang Cao, Shifeng Chen
Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Adobe Inc, Apple Inc, Southern University of Science and Technology (SUSTech)
Denoising diffusion models have emerged as a powerful tool for various image generation and editing tasks, facilitating the synthesis of visual content in an unconditional or input-conditional manner. The core idea behind them is learning to reverse the process of gradually adding noise to images, allowing them to generate high-quality samples from a complex distribution. In this survey, we provide an exhaustive overview of existing methods using diffusion models for image editing, covering both theoretical and practical aspects in the field. We delve into a thorough analysis and categorization of these works from multiple perspectives, including learning strategies, user-input conditions, and the array of specific editing tasks that can be accomplished. In addition, we pay special attention to image inpainting and outpainting, and explore both earlier traditional context-driven and current multimodal conditional methods, offering a comprehensive analysis of their methodologies. To further evaluate the performance of text-guided image editing algorithms, we propose a systematic benchmark, EditEval, featuring an innovative metric, LMM Score. Finally, we address current limitations and envision some potential directions for future research.
📌 We are tracking the latest work. Free to contact us if you would like to incorporate your studies in this repository and our survey paper.
📰 2024-02-28: Survey paper that encompasses related works before 01/02/2024 is released!
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
Xu, Sihan and Ma, Ziqiao and Huang, Yidong and Lee, Honglak and Chai, Joyce
NeurIPS 2023. [Paper]
2023.10
Stylediffusion: Controllable disentangled style transfer via diffusion models
Wang, Zhizhong and Zhao, Lei and Xing, Wei
ICCV 2023. [Paper]
2023.08
Hierarchical diffusion autoencoders and disentangled image manipulation
Lu, Zeyu and Wu, Chengyue and Chen, Xinyuan and Wang, Yaohui and Bai, Lei and Qiao, Yu and Liu, Xihui
WACV 2024. [Paper]
2023.04
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models
Starodubcev, Nikita and Baranchuk, Dmitry and Khrulkov, Valentin and Babenko, Artem
arXiv 2023. [Paper]
2023.04
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models
Matsunaga, Naoki and Ishii, Masato and Hayakawa, Akio and Suzuki, Kenji and Narihira, Takuya
CVPR 2023 WORKSHOP. [Paper]
2022.12
Diffstyler: Controllable dual diffusion for text-driven image stylization
Huang, Nisha and Zhang, Yuxin and Tang, Fan and Ma, Chongyang and Huang, Haibin and Dong, Weiming and Xu, Changsheng
TNNLS 2024. [Paper]
2022.11
Diffusion Models Already Have A Semantic Latent Space
Kwon, Mingi and Jeong, Jaeseok and Uh, Youngjung
ICLR. [Paper]
2022.10
Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations
Zhao, Min and Bao, Fan and Li, Chongxuan and Zhu, Jun
NeurIPS 2022. [Paper]
2022.07
Diffusion autoencoders: Toward a meaningful and decodable representation
Preechakul, Konpat and Chatthee, Nattanat and Wizadwongsa, Suttisak and Suwajanakorn, Supasorn
CVPR 2022. [Paper]
2021.11
Unit-ddpm: Unpaired image translation with denoising diffusion probabilistic models
Sasaki, Hiroshi and Willcocks, Chris G and Breckon, Toby P
arXiv 2021. [Paper]
2021.04
Diffusionclip: Text-guided diffusion models for robust image manipulation
Kim, Gwanghyun and Kwon, Taesung and Ye, Jong Chul
CVPR 2022. [Paper]
2021.01
SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control
Singh, Jaskirat and Zhang, Jianming and Liu, Qing and Smith, Cameron and Lin, Zhe and Zheng, Liang
arXiv 2023. [Paper]
2023.12
A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting
Zhuang, Junhao and Zeng, Yanhong and Liu, Wenran and Yuan, Chun and Chen, Kai
arXiv 2023. [Paper]
2023.12
DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models
Xie, Shaoan and Zhao, Yang and Xiao, Zhisheng and Chan, Kelvin CK and Li, Yandong and Xu, Yanwu and Zhang, Kun and Hou, Tingbo
arXiv 2023. [Paper]
2023.12
Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion Model
Yang, Shiyuan and Chen, Xiaodong and Liao, Jing
ACM MM 2023. [Paper]
2023.10
Face Aging via Diffusion-based Editing
Xiangyi Chen and Stéphane Lathuilière
BMVC 2023. [Paper]
2023.09
Anydoor: Zero-shot object-level image customization
Chen, Xi and Huang, Lianghua and Liu, Yu and Shen, Yujun and Zhao, Deli and Zhao, Hengshuang
arXiv 2023. [Paper]
2023.07
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
Zhang, Xin and Guo, Jiaxian and Yoo, Paul and Matsuo, Yutaka and Iwasawa, Yusuke
arXiv 2023. [Paper]
2023.06
Text-to-image editing by image information removal
Zhang, Zhongping and Zheng, Jian and Fang, Zhiyuan and Plummer, Bryan A
WACV 2024. [Paper]
2023.05
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
Kim, Kangyeol and Park, Sunghyun and Lee, Junsoo and Choo, Jaegul
arXiv 2023. [Paper]
2023.04
Pair-diffusion: Object-level image editing with structure-and-appearance paired diffusion models
Goel, Vidit and Peruzzo, Elia and Jiang, Yifan and Xu, Dejia and Sebe, Nicu and Darrell, Trevor and Wang, Zhangyang and Shi, Humphrey
arXiv 2023. [Paper]
2023.03
Imagen editor and editbench: Advancing and evaluating text-guided image inpainting
Wang, Su and Saharia, Chitwan and Montgomery, Ceslee and Pont-Tuset, Jordi and Noy, Shai and Pellegrini, Stefano and Onoe, Yasumasa and Laszlo, Sarah and Fleet, David J and Soricut, Radu and others
CVPR 2023. [Paper]
2022.12
Smartbrush: Text and shape guided object inpainting with diffusion model
Xie, Shaoan and Zhang, Zhifei and Lin, Zhe and Hinz, Tobias and Zhang, Kun
CVPR 2023. [Paper]
2022.12
ObjectStitch: Object Compositing With Diffusion Model
Song, Yizhi and Zhang, Zhifei and Lin, Zhe and Cohen, Scott and Price, Brian and Zhang, Jianming and Kim, Soo Ye and Aliaga, Daniel
CVPR 2023. [Paper]
2022.12
Paint by example: Exemplar-based image editing with diffusion models
Yang, Binxin and Gu, Shuyang and Zhang, Bo and Zhang, Ting and Chen, Xuejin and Sun, Xiaoyan and Chen, Dong and Wen, Fang
CVPR 2023. [Paper]
2022.11
SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models
Huang, Yuzhou and Xie, Liangbin and Wang, Xintao and Yuan, Ziyang and Cun, Xiaodong and Ge, Yixiao and Zhou, Jiantao and Dong, Chao and Huang, Rui and Zhang, Ruimao and others
arXiv 2023. [Paper]
2023.12
InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction Following
Li, Shufan and Singh, Harkanwar and Grover, Aditya
arXiv 2023. [Paper]
2023.12
Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation
Guo, Qin and Lin, Tianwei
arXiv 2023. [Paper]
2023.12
Emu edit: Precise image editing via recognition and generation tasks
Sheynin, Shelly and Polyak, Adam and Singer, Uriel and Kirstain, Yuval and Zohar, Amit and Ashual, Oron and Parikh, Devi and Taigman, Yaniv
arXiv 2023. [Paper]
2023.11
Guiding instruction-based image editing via multimodal large language models
Fu, Tsu-Jui and Hu, Wenze and Du, Xianzhi and Wang, William Yang and Yang, Yinfei and Gan, Zhe
arXiv 2023. [Paper]
2023.09
Instructdiffusion: A generalist modeling interface for vision tasks
Geng, Zigang and Yang, Binxin and Hang, Tiankai and Li, Chen and Gu, Shuyang and Zhang, Ting and Bao, Jianmin and Zhang, Zheng and Hu, Han and Chen, Dong and others
arXiv 2023. [Paper]
2023.09
MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers
Li, Sijia and Chen, Chen and Lu, Haonan
arXiv 2023. [Paper]
2023.09
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
Yasheng, SUN and Yang, Yifan and Peng, Houwen and Shen, Yifei and Yang, Yuqing and Hu, Han and Qiu, Lili and Koike, Hideki
NeurIPS 2023. [Paper]
2023.08
Inst-Inpaint: Instructing to Remove Objects with Diffusion Models
Yildirim, Ahmet Burak and Baday, Vedat and Erdem, Erkut and Erdem, Aykut and Dundar, Aysegul
arXiv 2023. [Paper]
2023.04
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Zhang, Shu and Yang, Xinyi and Feng, Yihao and Qin, Can and Chen, Chia-Chih and Yu, Ning and Chen, Zeyuan and Wang, Huan and Savarese, Silvio and Ermon, Stefano and others
arXiv 2023. [Paper]
2023.03
DialogPaint: A Dialog-based Image Editing Model
Wei, Jingxuan and Wu, Shiyu and Jiang, Xin and Wang, Yequan
arXiv 2023. [Paper]
2023.01
Learning to Follow Object-Centric Image Editing Instructions Faithfully
Chakrabarty, Tuhin and Singh, Kanishk and Saakyan, Arkadiy and Muresan, Smaranda
ACL 2023. [Paper]
2023.01
Instructpix2pix: Learning to follow image editing instructions
Brooks, Tim and Holynski, Aleksander and Efros, Alexei A
CVPR 2023. [Paper]
2022.11
Text-Driven Image Editing via Learnable Regions
Lin, Yuanze and Chen, Yi-Wen and Tsai, Yi-Hsuan and Jiang, Lu and Yang, Ming-Hsuan
arXiv 2023. [Paper]
2023.11
iEdit: Localised Text-guided Image Editing with Weak Supervision
Bodur, Rumeysa and Gundogdu, Erhan and Bhattarai, Binod and Kim, Tae-Kyun and Donoser, Michael and Bazzani, Loris
arXiv 2023. [Paper]
2023.05
Kv inversion: Kv embeddings learning for text-conditioned real image action editing
Huang, Jiancheng and Liu, Yifan and Qin, Jin and Chen, Shifeng
PRCV 2023. [Paper]
2023.09
Custom-edit: Text-guided image editing with customized diffusion models
Choi, Jooyoung and Choi, Yunjey and Kim, Yunji and Kim, Junho and Yoon, Sungroh
arXiv 2023. [Paper]
2023.05
Unitune: Text-driven image editing by fine tuning an image generation model on a single image
Valevski, Dani and Kalman, Matan and Matias, Yossi and Leviathan, Yaniv
arXiv 2022. [Paper]
2022.10
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
Wang, Kai and Yang, Fei and Yang, Shiqi and Butt, Muhammad Atif and van de Weijer, Joost
NeurIPS 2023. [Paper]
2023.09
Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models
Dong, Wenkai and Xue, Song and Duan, Xiaoyue and Han, Shumin
ICCV 2023. [Paper]
2023.05
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Wu, Qiucheng and Liu, Yujian and Zhao, Handong and Kale, Ajinkya and Bui, Trung and Yu, Tong and Lin, Zhe and Zhang, Yang and Chang, Shiyu
CVPR 2023. [Paper]
2022.12
Null-text inversion for editing real images using guided diffusion models
Mokady, Ron and Hertz, Amir and Aberman, Kfir and Pritch, Yael and Cohen-Or, Daniel
CVPR 2023. [Paper]
2022.11
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
Li, Senmao and van de Weijer, Joost and Hu, Taihang and Khan, Fahad Shahbaz and Hou, Qibin and Wang, Yaxing and Yang, Jian
arXiv 2023. [Paper]
2023.05
Inversion-based creativity transfer with diffusion models
Zhang, Yuxin and Huang, Nisha and Tang, Fan and Huang, Haibin and Ma, Chongyang and Dong, Weiming and Xu, Changsheng
ARXOV 2022. [Paper]
2022.11
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
Nam, Hyelin and Kwon, Gihyun and Park, Geon Yeong and Ye, Jong Chul
arXiv 2023. [Paper]
2023.11
MagicRemover: Tuning-free Text-guided Image inpainting with Diffusion Models
Yang, Siyuan and Zhang, Lu and Ma, Liqian and Liu, Yu and Fu, JingJing and He, You
arXiv 2023. [Paper]
2023.10
Dragondiffusion: Enabling drag-style manipulation on diffusion models
Mou, Chong and Wang, Xintao and Song, Jiechong and Shan, Ying and Zhang, Jian
arXiv 2023. [Paper]
2023.07
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Shi, Yujun and Xue, Chuhui and Pan, Jiachun and Zhang, Wenqing and Tan, Vincent YF and Bai, Song
arXiv 2023. [Paper]
2023.06
Delta denoising score
Hertz, Amir and Aberman, Kfir and Cohen-Or, Daniel
ICCV 2023. [Paper]
2023.04
Diffusion-based Image Translation using disentangled style and content representation
Kwon, Gihyun and Ye, Jong Chul
ICLR. [Paper]
2022.09
Forgedit: Text Guided Image Editing via Learning and Forgetting
Zhang, Shiwen and Xiao, Shuai and Huang, Weilin
arXiv 2023. [Paper]
2023.09
LayerDiffusion: Layered Controlled Image Editing with Diffusion Models
Li, Pengzhi and Huang, QInxuan and Ding, Yikang and Li, Zhiheng
arXiv 2023. [Paper]
2023.05
Sine: Single image editing with text-to-image diffusion models
Zhang, Zhixing and Han, Ligong and Ghosh, Arnab and Metaxas, Dimitris N and Ren, Jian
CVPR 2023. [Paper]
2022.12
Imagic: Text-Based Real Image Editing With Diffusion Models
Kawar, Bahjat and Zada, Shiran and Lang, Oran and Tov, Omer and Chang, Huiwen and Dekel, Tali and Mosseri, Inbar and Irani, Michal
CVPR 2023. [Paper]
2022.10
User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques
Kim, Sunwoo and Jang, Wooseok and Kim, Hyunsu and Kim, Junho and Choi, Yunjey and Kim, Seungryong and Lee, Gayeong
arXiv 2023. [Paper]
2023.06
ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
Lin, Yupei and Zhang, Sen and Yang, Xiaojun and Wang, Xiao and Shi, Yukai
arXiv 2023. [Paper]
2023.05
InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
Wang, Qian and Zhang, Biao and Birsak, Michael and Wonka, Peter
arXiv 2023. [Paper]
2023.05
Preditor: Text guided image editing with diffusion prior
Ravi, Hareesh and Kelkar, Sachin and Harikumar, Midhun and Kale, Ajinkya
arXiv 2023. [Paper]
2023.02
Fixed-point Inversion for Text-to-image diffusion models
Meiri, Barak and Samuel, Dvir and Darshan, Nir and Chechik, Gal and Avidan, Shai and Ben-Ari, Rami
arXiv 2023. [Paper]
2023.12
Tuning-Free Inversion-Enhanced Control for Consistent Image Editing
Duan, Xiaoyue and Cui, Shuhao and Kang, Guoliang and Zhang, Baochang and Fei, Zhengcong and Fan, Mingyuan and Huang, Junshi
arXiv 2023. [Paper]
2023.12
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
Nie, Shen and Guo, Hanzhong Allan and Lu, Cheng and Zhou, Yuhao and Zheng, Chenyu and Li, Chongxuan
arXiv 2023. [Paper]
2023.11
LEDITS++: Limitless Image Editing using Text-to-Image Models
Brack, Manuel and Friedrich, Felix and Kornmeier, Katharina and Tsaban, Linoy and Schramowski, Patrick and Kersting, Kristian and Passos, Apolinário
arXiv 2023. [Paper]
2023.11
A latent space of stochastic diffusion models for zero-shot image editing and guidance
Wu, Chen Henry and De la Torre, Fernando
ICCV 2023. [Paper]
2023.10
Effective real image editing with accelerated iterative diffusion inversion
Pan, Zhihong and Gherardi, Riccardo and Xie, Xiufeng and Huang, Stephen
ICCV 2023. [Paper]
2023.09
Fec: Three finetuning-free methods to enhance consistency for real image editing
Chen, Songyan and Huang, Jiancheng
arXiv 2023. [Paper]
2023.09
Iterative multi-granular image editing using diffusion models
Joseph, KJ and Udhayanan, Prateksha and Shukla, Tripti and Agarwal, Aishwarya and Karanam, Srikrishna and Goswami, Koustava and Srinivasan, Balaji Vasan
arXiv 2024. [Paper]
2023.09
ProxEdit: Improving Tuning-Free Real Image Editing With Proximal Guidance
Han, Ligong and Wen, Song and Chen, Qi and Zhang, Zhixing and Song, Kunpeng and Ren, Mengwei and Gao, Ruijiang and Chen, Yuxiao and Di Liu 0003 and Zhangli, Qilong and others
WACV 2024. [Paper]
2023.06
Diffusion self-guidance for controllable image generation
Epstein, Dave and Jabri, Allan and Poole, Ben and Efros, Alexei A and Holynski, Aleksander
arXiv 2023. [Paper]
2023.06
Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images
Gholami, Peyman and Xiao, Robert
arXiv 2023. [Paper]
2023.06
Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models
Miyake, Daiki and Iohara, Akihiro and Saito, Yu and Tanaka, Toshiyuki
arXiv 2023. [Paper]
2023.05
An Edit Friendly DDPM Noise Space: Inversion and Manipulations
Huberman-Spiegelglas, Inbar and Kulikov, Vladimir and Michaeli, Tomer
arXiv 2023. [Paper]
2023.04
Training-Free Content Injection Using H-Space in Diffusion Models
Jeong, Jaeseok and Kwon, Mingi and Uh, Youngjung
WACV 2024. [Paper]
2023.03
Edict: Exact diffusion inversion via coupled transformations
Wallace, Bram and Gokul, Akash and Naik, Nikhil
CVPR 2023. [Paper]
2022.11
Direct inversion: Optimization-free text-driven real image editing with diffusion models
Elarabawy, Adham and Kamath, Harish and Denton, Samuel
arXiv 2022. [Paper]
2022.11
HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models
Manukyan, Hayk and Sargsyan, Andranik and Atanyan, Barsegh and Wang, Zhangyang and Navasardyan, Shant and Shi, Humphrey
arXiv 2023. [Paper]
2023.12
Tf-icon: Diffusion-based training-free cross-domain image composition
Lu, Shilin and Liu, Yanzhu and Kong, Adams Wai-Kin
ICCV 2023. [Paper]
2023.07
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
Park, Geon Yeong and Kim, Jeongsol and Kim, Beomsu and Lee, Sang Wan and Ye, Jong Chul
NeurIPS 2023. [Paper]
2023.06
Conditional Score Guidance for Text-Driven Image-to-Image Translation
Lee, Hyunsoo and Kang, Minsoo and Han, Bohyung
NeurIPS 2023. [Paper]
2023.05
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
Cao, Mingdeng and Wang, Xintao and Qi, Zhongang and Shan, Ying and Qie, Xiaohu and Zheng, Yinqiang
arXiv 2023. [Paper]
2023.04
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
Patashnik, Or and Garibi, Daniel and Azuri, Idan and Averbuch-Elor, Hadar and Cohen-Or, Daniel
ICCV 2023. [Paper]
2023.03
Zero-shot image-to-image translation
Parmar, Gaurav and Kumar Singh, Krishna and Zhang, Richard and Li, Yijun and Lu, Jingwan and Zhu, Jun-Yan
ACM SIGGRAPH 2023. [Paper]
2023.02
Shape-Guided Diffusion With Inside-Outside Attention
Park, Dong Huk and Luo, Grace and Toste, Clayton and Azadi, Samaneh and Liu, Xihui and Karalashvili, Maka and Rohrbach, Anna and Darrell, Trevor
WACV 2024. [Paper]
2022.12
Plug-and-play diffusion features for text-driven image-to-image translation
Tumanyan, Narek and Geyer, Michal and Bagon, Shai and Dekel, Tali
CVPR 2023. [Paper]
2022.11
Prompt-to-prompt image editing with cross attention control
Hertz, Amir and Mokady, Ron and Tenenbaum, Jay and Aberman, Kfir and Pritch, Yael and Cohen-Or, Daniel
ICLR. [Paper]
2022.08
ZONE: Zero-Shot Instruction-Guided Local Editing
Li, Shanglin and Zeng, Bohan and Feng, Yutang and Gao, Sicheng and Liu, Xuhui and Liu, Jiaming and Lin, Li and Tang, Xu and Hu, Yao and Liu, Jianzhuang and others
arXiv 2023. [Paper]
2023.12
Watch your steps: Local image and scene editing by text instructions
Mirzaei, Ashkan and Aumentado-Armstrong, Tristan and Brubaker, Marcus A and Kelly, Jonathan and Levinshtein, Alex and Derpanis, Konstantinos G and Gilitschenski, Igor
arXiv 2023. [Paper]
2023.08
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
Park, Geon Yeong and Kim, Jeongsol and Kim, Beomsu and Lee, Sang Wan and Ye, Jong Chul
NeurIPS 2023. [Paper]
2023.06
Differential Diffusion: Giving Each Pixel Its Strength
Levin, Eran and Fried, Ohad
arXiv 2023. [Paper]
2023.06
PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing
Huang, Wenjing and Tu, Shikui and Xu, Lei
arXiv 2023. [Paper]
2023.06
FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference
Yu, Zihao and Li, Haoyang and Fu, Fangcheng and Miao, Xupeng and Cui, Bin
AAAI 2023. [Paper]
2023.05
Inpaint anything: Segment anything meets image inpainting
Yu, Tao and Feng, Runseng and Feng, Ruoyu and Liu, Jinming and Jin, Xin and Zeng, Wenjun and Chen, Zhibo
arXiv 2023. [Paper]
2023.04
Region-aware diffusion for zero-shot text-driven image editing
Huang, Nisha and Tang, Fan and Dong, Weiming and Lee, Tong-Yee and Xu, Changsheng
CVM 2023. [Paper]
2023.02
Text-guided mask-free local image retouching
Liu, Zerun and Zhang, Fan and He, Jingxuan and Wang, Jin and Wang, Zhangye and Cheng, Lechao
ICME 2023. [Paper]
2022.12
Blended diffusion for text-driven editing of natural images
Avrahami, Omri and Lischinski, Dani and Fried, Ohad
CVPR 2022. [Paper]
2021.11
DiffEdit: Diffusion-based semantic image editing with mask guidance
Couairon, Guillaume and Verbeek, Jakob and Schwenk, Holger and Cord, Matthieu
ICLR. [Paper]
2022.10
Blended latent diffusion
Avrahami, Omri and Fried, Ohad and Lischinski, Dani
SIGGRAPH 2023. [Paper]
2022.06
Object-aware Inversion and Reassembly for Image Editing
Yang, Zhen and Gui, Dinggang and Wang, Wen and Chen, Hao and Zhuang, Bohan and Shen, Chunhua
arXiv 2023. [Paper]
2023.10
Ledits: Real image editing with ddpm inversion and semantic guidance
Tsaban, Linoy and Passos, Apolin{'a}rio
arXiv 2023. [Paper]
2023.07
Sega: Instructing diffusion using semantic dimensions
Brack, Manuel and Friedrich, Felix and Hintersdorf, Dominik and Struppek, Lukas and Schramowski, Patrick and Kersting, Kristian
arXiv 2023. [Paper]
2023.01
The stable artist: Steering semantics in diffusion latent space
Brack, Manuel and Schramowski, Patrick and Friedrich, Felix and Hintersdorf, Dominik and Kersting, Kristian
arXiv 2022. [Paper]
2022.12