Image Inpainting

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Overview

Image inpainting studies how to fill missing or damaged regions while keeping the result coherent with the visible parts of an image. Methods range from convolutional and transformer networks and GANs to diffusion and flow models, which may use masks, text, sketches, reference images, or medical and scientific priors to guide completion. Researchers evaluate both visual similarity and perceptual or task-specific outcomes on natural-image benchmarks and specialized settings such as medical scans, satellite imagery, and 3D scenes. A central challenge is balancing plausible, detailed synthesis against faithful preservation of observed content, with consistency across large gaps, video frames, or multiple views and efficient, reliable performance beyond training data still difficult.

Latest papers

CardsList

92 papers9 papers in the last four weeks, down 55% on the four weeks before. 0.1% of all new papers.

  1. Image AID via continuous-time reinforcement learning

    May 13, 2026Yilie Huang, Xun Yu ZhouDiffusion Model GuidanceMasked Diffusion Models

    Department of Industrial Engineering and Operations Research, Columbia University, New York, NY 10027, USA. · Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University, New York, NY 10027, USA.

  2. simpleposter: a simple baseline for product poster generation

    May 9, 2026Benlei Cui, Fangao Zeng, Weitao Jiang +6Image GenerationImage Inpainting

    1Alibaba Group · 2Taobao & Tmall Group of Alibaba

  3. BRIDGE: Background Routing and Isolated Discrete Gating for Coarse-Mask Local Editing

    May 8, 2026Peilin Xiong, Honghui Yuan, Junwen Chen +1Diffusion TransformerPositional Encoding

    Department of Informatics, The University of Electro-Communications, Tokyo, Japan

  4. AlbumFill: Album-Guided Reasoning and Retrieval for Personalized Image Completion

    May 4, 2026Yu-Ju Tsai, Brian Price, Qing Liu +5Image Inpainting

    University of California, Merced · Adobe Research

  5. Quaternion Nonlinear Transform-Induced Nuclear Norm for Low-Rank Tensor Completion

    May 2, 2026Biswarup Karmakar, Ratikanta BeheraTensor CompletionTensor Decomposition

    Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, 560012, India

  6. InpaintSLat: Inpainting Structured 3D Latents via Initial Noise Optimization

    May 1, 2026Jaeyoung Chung, Suyoung Lee, Kyoung Mu LeeLatent Diffusion ModelsImage Inpainting

    Seoul National University, Seoul, South Korea.

  7. GOR-IS: 3D Gaussian Object Removal in the Intrinsic Space

    May 1, 2026Yonghao Zhao, Yupeng Gao, Jian Yang +23D Gaussian SplattingIntrinsic Image Decomposition

    VCIP, College of Computer Science, Nankai University · School of Intelligence Science and Technology, Nanjing University

  8. MESA: A Training-Free Multi-Exemplar Deep Framework for Restoring Ancient Inscription Textures

    Apr 19, 2026Vasileios Toulatzis, Sofia Theodoridou, Ioannis FudosImage GenerationImage Restoration

    University of Ioannina, Greece

  9. DiffusionPrint: Learning Generative Fingerprints for Diffusion-Based Inpainting Localization

    Apr 14, 2026Paschalis Giakoumoglou, Symeon PapadopoulosImage Forgery LocalizationDigital Image Forensics

    Information Technologies Institute, CERTH

  10. High-Fidelity Mural Restoration via a Unified Hybrid Mask-Aware Transformer

    Apr 5, 2026Jincheng Jiang, Qianhao Han, Chi Zhang +1Image RestorationImage Inpainting

    Northeastern University (Toronto Campus), Toronto, Canada · The Bishop Strachan School, Toronto, Canada

  11. From Understanding to Erasing: Towards Complete and Stable Video Object Removal

    Apr 2, 2026Dingming Liu, Wenjing Wang, Chen Li +2Object RemovalVideo Editing

    Peking University · WeChat Vision, Tencent Inc.

  12. FlowID : Enhancing Forensic Identification with Latent Flow-Matching Models

    Mar 31, 2026Jules Ripoll, David Bertoin, Alasdair Newson +2Identity-Preserving Image GenerationImage Inpainting

    INSA Toulouse · Sorbonne Universit´e · International Committee of the Red Cross

  13. Generating Humanless Environment Walkthroughs from Egocentric Walking Tour Videos

    Mar 30, 2026Yujin Ham, Junho Kim, Vivek Boominathan +1Image InpaintingVideo Diffusion Models

    Rice University

  14. TGIF2: Extended Text-Guided Inpainting Forgery Dataset & Benchmark

    Mar 30, 2026Hannes Mareen, Dimitrios Karageorgiou, Paschalis Giakoumoglou +3Digital Image ForensicsImage Forgery Localization

    IDLab, Ghent University – imec, Gent, Belgium. · Information Technologies Institute, CERTH, Thessaloniki, Greece.

  15. Integrating Multimodal Large Language Model Knowledge into Amodal Completion

    Mar 30, 2026Heecheol Yun, Eunho YangImage Inpainting

    KAIST · AITRICS

  16. InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting

    Mar 24, 2026Duc Vu, Kien Nguyen, Ngan Nguyen +5Image InpaintingT2I Diffusion Models

    Qualcomm AI Research · Posts & Telecommunications Inst. of Tech., Vietnam

  17. From Artefact to Insight: Efficient Low-Rank Adaptation of BrushNet for Scanning Probe Microscopy Image Restoration

    Mar 16, 2026Ziwei Wei, Yao Shen, Wanheng Lu +2Image RestorationDiffusion Models for Image Restoration

    Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, 117576, Singapore · School of Computer Science and Technology, Tongji University, 4800 Caoan Road, Shanghai, 201804, China · Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583 +1

  18. A2^2-Edit: Precise Reference-Guided Image Editing of Arbitrary Objects and Ambiguous Masks

    Mar 11, 2026Huayu Zheng, Guangzhao Li, Baixuan Zhao +4Image EditingImage Inpainting

    Shanghai Jiao Tong University · Shanghai Innovation Institute

  19. From Ideal to Real: Stable Video Object Removal under Imperfect Conditions

    Mar 10, 2026Jiagao Hu, Yuxuan Chen, Fuhao Li +4Video EditingVideo Diffusion Models

    MiLM Plus, Xiaomi Inc.

  20. 3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models

    Mar 6, 2026Susanne Schaub, Florentin Bieder, Matheus L. Oliveira +4Cone-Beam CTComputed Tomography

    Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland · Piracicaba Dental School, University of Campinas, Piracicaba, Brazil · State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China +2

  21. Longitudinal Lesion Inpainting in Brain MRI via 3D Region Aware Diffusion

    Mar 5, 2026Zahra Karimaghaloo, Dumitru Fetco, Haz-Edine Assemlal +2Diffusion Models for Image RestorationDiffusion Model Guidance

    Clario part of Thermofisher Scientific, Montreal, Canada · Concordia University, Montreal, Canada

  22. Transformer-Based Inpainting for Real-Time 3D Streaming in Sparse Multi-Camera Setups

    Mar 5, 2026Leif Van Holland, Domenic Zingsheim, Mana Takhsha +4Image InpaintingStreaming 3D Reconstruction

    University of Bonn, Germany

  23. Structure-Guided Histopathology Synthesis via Dual-LoRA Diffusion

    Mar 4, 2026Xuan Xu, Prateek PrasannaMedical Image SynthesisConditional Diffusion Models

    Stony Brook University

  24. HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images

    Mar 2, 2026Yichen Liu, Donghao Zhou, Jie Wang +9Image GenerationImage Inpainting

    University of Chinese Academy of Sciences · The Chinese University of Hong Kong · ByteDance +2

  25. SkyReels-V4: Multi-modal Video-Audio Generation, Inpainting and Editing model

    Feb 25, 2026Guibin Chen, Dixuan Lin, Jiangping Yang +48Multimodal Video GenerationAudio-Video Generation

  26. How Do Inpainting Artifacts Propagate to Language?

    Feb 24, 2026Pratham Yashwante, Davit Abrahamyan, Shresth Grover +1VLM RobustnessVLM Evaluation

    UC San Diego

  27. EditCtrl: Disentangled Local and Global Control for Real-Time Generative Video Editing

    Feb 16, 2026Yehonathan Litman, Shikun Liu, Dario Seyb +5Video EditingInstruction-Based Video Editing

    Meta Reality Labs · Carnegie Mellon University · Meta AI

  28. Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation

    Jan 13, 2026Mohamad Koohi-Moghadam, Mohammad-Ali Nikouei Mahani, Rex K. H. Au-Yeung +6Computational PathologySynthetic Data Augmentation

    Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, PR China · Department of Pathology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China · Department of Anatomical and Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China. +2

  29. SONIC: Spectral Optimization of Noise for Inpainting with Consistency

    Nov 25, 2025Seungyeon Baek, Erqun Dong, Shadan Namazifard +2Diffusion Model InversionImage Inpainting

    University of British Columbia, Canada · Google DeepMind, USA

  30. Unified Long Video Inpainting and Outpainting via Overlapping High-Order Co-Denoising

    Nov 5, 2025Shuangquan Lyu, Jian Mao, Yue MaVideo Diffusion ModelsLong Video Generation

    Carnegie Mellon University · Jilin University · Tsinghua University