图像生成

Hirarchical Digital Image Inpainting Using Wavelets

S. Padmavathi, B. Priyalakshmi. Dr. K. P. Soman

专题命中 图像修复 ：inpainting(title,abstract)；diffusion(abstract)；分类 cs.CV

Comments 8 pages, 9 figures

Journal ref Signal & Image Processing : An International Journal (SIPIJ) Vol.3, No.4, August 2012

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks

Flow-PIN：一种用于配电网全系统多变量剖面修复的两阶段潮流引导方法

Zhenghao Zhou, Yiyan Li, Yike Guo, Xinyi Ma, Zheng Yan, Mo-Yuen Chow

专题命中 图像修复 ：inpainting(title,abstract)；diffusion(abstract)

AI总结 针对配电网数据缺失恢复问题，提出两阶段物理引导框架Flow-PIN。第一阶段用条件流匹配模型结合物理惩罚生成候选值，第二阶段用拓扑感知潮流引导细化器校正偏差，实现了高精度、捕捉波动及保留相关性的多变量剖面修复。

Optimising Inpainting Data with Delaunay Averages

基于Delaunay平均值的图像修复数据优化

Vassillen Chizhov, Joachim Weickert

专题命中 图像修复 ：inpainting(title,abstract)；diffusion(abstract)

AI总结 提出一种新的特征类型：存储Delaunay三角剖分的顶点位置及三角形内平均颜色值，结合均匀扩散修复实现正定线性系统，并开发高效数据优化策略，在图像压缩中显著优于传统方法。

Optimizing Multiple Feature Types for Image Inpainting in the Linear and Nonlinear Setting

线性和非线性设置下优化多种特征类型的图像修复

Vassillen Chizhov, Ferdinand Jost, Joachim Weickert

专题命中 图像修复 ：inpainting(title,abstract)；diffusion(abstract)

AI总结 提出一种通用理论和框架，允许在线性或非线性修复中优化任意特征（如导数、局部积分），自动选择特征位置和类型，实验表明增加特征类型可显著提升压缩重建质量。

Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars

Wanglong Lu, Hanli Zhao, Xianta Jiang, Xiaogang Jin, Yongliang Yang, Min Wang, Jiankai Lyu, Kaijie Shi

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.GR、cs.MM

Comments There are 16 pages, 18 figures in this paper. Homepage: https://longlongaaago.github.io/EXE-GAN/

Journal ref Neurocomputing 617 (2025): 128996

Crystal structure prediction with host-guided inpainting generation and foundation potentials

Peichen Zhong, Xinzhe Dai, Bowen Deng, Gerbrand Ceder, Kristin A. Persson

专题命中 图像修复 ：inpainting(title,abstract)；diffusion(abstract)

Ensemble score filter with image inpainting for data assimilation in tracking surface quasi-geostrophic dynamics with partial observations

Siming Liang, Hoang Tran, Feng Bao, Hristo G. Chipilski, Peter Jan van Leeuwen, Guannan Zhang

专题命中 图像修复 ：inpainting(title,abstract)；diffusion(abstract)

Optimising Different Feature Types for Inpainting-based Image Representations

Ferdinand Jost, Vassillen Chizhov, Joachim Weickert

专题命中 图像修复 ：inpainting(title,abstract)；diffusion(abstract)

Journal ref Proc. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023, Rhodes, Greece, June 2023), 2023

Sparse Inpainting with Smoothed Particle Hydrodynamics

Viktor Daropoulos, Matthias Augustin, Joachim Weickert

专题命中 图像修复 ：inpainting(title,abstract)；diffusion(abstract)

Comments 96 pages, 82 figures, accepted by SIAM Journal on Imaging Sciences

Inpainting-based Video Compression in FullHD

Sarah Andris, Pascal Peter, Rahul Mohideen Kaja Mohideen, Joachim Weickert, Sebastian Hoffmann

专题命中 图像修复 ：inpainting(title,abstract)；diffusion(abstract)

Spectrogram Inpainting for Interactive Generation of Instrument Sounds

Théis Bazin, Gaëtan Hadjeres, Philippe Esling, Mikhail Malt

专题命中 图像修复 ：inpainting(title,abstract)；image generation(abstract)

Comments 8 pages + references + appendices. 4 figures. Published as a conference paper at the The 2020 Joint Conference on AI Music Creativity, October 19-23, 2020, organized and hosted virtually by the Royal Institute of Technology (KTH), Stockholm, Sweden

Journal ref Proceedings of the 1st Joint Conference on AI Music Creativity, 2020 (p. 10). Stockholm, Sweden: AIMC

Inpainting Galactic Foreground Intensity and Polarization maps using Convolutional Neural Network

Giuseppe Puglisi, Xiran Bai

专题命中 图像修复 ：inpainting(title,abstract)；image generation(abstract)

Existence Theory for the EED Inpainting Problem

Michael Bildhauer, Marcelo Cárdenas, Martin Fuchs, Joachim Weickert

专题命中 图像修复 ：inpainting(title,abstract)；diffusion(abstract)

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

基于Transformer的实时稀疏多摄像头设置下3D流媒体修复

Leif Van Holland, Domenic Zingsheim, Mana Takhsha, Hannah Dröge, Patrick Stotko, Markus Plack, Reinhard Klein

机构 * University of Bonn（波恩大学） 纠错

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.GR

AI总结 本文提出了一种基于Transformer的实时3D流媒体修复方法，通过多视图感知网络和自适应补丁选择策略，在稀疏多摄像头设置下实现高质量且快速的纹理修复。

Comments You can find the project page https://github.com/vc-bonn/transformer-based-inpainting

Latent-Space Inpainting for Packet Loss Concealment in Collaborative Object Detection

Ivan V. Bajić

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.MM

Comments Extended version of the paper "Latent Space Inpainting for Loss-Resilient Collaborative Object Detection," to be presented at the IEEE International Conference on Communications (ICC), Montreal, Canada, June 14-23, 2021

Video Inpainting of Complex Scenes

复杂场景的视频修复

Alasdair Newson, Andrés Almansa, Matthieu Fradet, Yann Gousseau, Patrick Pérez

机构 * Technicolor 纠错

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.MM

AI总结 本文提出一种自动视频修复算法，通过优化全局基于补丁的功能实现复杂场景修复，提升修复效率与质量，无需手动输入，适用于高清晰度视频。

Journal ref SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2014, 7 (4), pp.1993-2019

CreativeVR: Diffusion-Prior-Guided Approach for Structure and Motion Restoration in Generative and Real Videos

CreativeVR: 一种基于扩散先验的结构与运动修复方法用于生成视频和真实视频

Tejas Panambur, Ishan Rajendrakumar Dave, Chongjian Ge, Ersin Yumer, Xue Bai

机构 * University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校） ； Adobe（Adobe公司） 纠错

专题命中 图像修复 ：diffusion(title,abstract)；分类 cs.CV、cs.MM

AI总结 CreativeVR通过扩散先验引导方法，有效修复AI生成和真实视频中的结构与运动伪影，实现高质量视频修复。

Comments The first two authors contributed equally

VAInpaint: Zero-Shot Video-Audio inpainting framework with LLMs-driven Module

Kam Man Wu, Zeyue Tian, Liya Ji, Qifeng Chen

机构 * The Hong Kong University of Science and Technology（香港科学与技术大学） 纠错

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.MM

VEIGAR: View-consistent Explicit Inpainting and Geometry Alignment for 3D object Removal

Pham Khai Nguyen Do, Bao Nguyen Tran, Nam Nguyen, Duc Dung Nguyen

机构 * AITech Lab（AITech实验室） ； Computer Science and Engineering Faculty（计算机科学与工程学院） ； Ho Chi Minh City University of Technology（胡志明市技术大学） ； VNUHCM 纠错

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.GR

VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Control

Yuxuan Bian, Zhaoyang Zhang, Xuan Ju, Mingdeng Cao, Liangbin Xie, Ying Shan, Qiang Xu

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.MM

Comments Project page available at https://yxbian23.github.io/project/video-painter

Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal

Yicheng Leng, Chaowei Fang, Junye Chen, Yixiang Fang, Sheng Li, Guanbin Li

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.MM

Comments To be published in AAAI 2025

SafePaint: Anti-forensic Image Inpainting with Domain Adaptation

Dunyun Chen, Xin Liao, Xiaoshuai Wu, Shiwei Chen

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.MM

Panoramic Image Inpainting With Gated Convolution And Contextual Reconstruction Loss

Li Yu, Yanjun Gao, Farhad Pakdaman, Moncef Gabbouj

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.MM

Comments Copyright 2024 IEEE - to appear in IEEE ICASSP 2024

Journal ref IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024

Inpainting Normal Maps for Lightstage data

Hancheng Zuo, Bernard Tiddeman

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.GR

Comments 8 pages, 4 figures, CGVC Conference, The Eurographics Association

Journal ref Computer Graphics and Visual Computing (CGVC), 2023, pp. 45-52

GRIG: Few-Shot Generative Residual Image Inpainting

Wanglong Lu, Xianta Jiang, Xiaogang Jin, Yong-Liang Yang, Minglun Gong, Tao Wang, Kaijie Shi, Hanli Zhao

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.MM

Comments There are 12 pages and 10 figures in this paper

SaiNet: Stereo aware inpainting behind objects with generative networks

Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson, Stephen Jolly, Simon Hadfield

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.GR

Comments Presented at AI4CC workshop at CVPR

Reduce Information Loss in Transformers for Pluralistic Image Inpainting

Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, Nenghai Yu

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.GR

Comments CVPR 2022, code is available at https://github.com/liuqk3/PUT

Shape-guided Object Inpainting

Yu Zeng, Zhe Lin, Vishal M. Patel

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.MM

MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting

Xiaoguang Li, Qing Guo, Di Lin, Ping Li, Wei Feng, Song Wang

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.MM

Comments Accepted by CVPR 2022

CR-Fill: Generative Image Inpainting with Auxiliary Contexutal Reconstruction

Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel

专题命中 图像修复 ：inpainting(title,abstract)；分类 cs.CV、cs.MM