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1. Image Manipulation Detection with Implicit Neural Representation and Limited Supervision NSTL国家科技图书文献中心

Zhenfei Zhang |  Mingyang Li... -  《Computer Vision - ECCV 2024,Part LXXXVIII》 -  European Conference on Computer Vision - 2025, - 255~273 - 共19页

摘要:Image Manipulation Detection (IMD) is becoming |  exploration of manipulation regions for image-level |  high-quality training datasets featuring image- and | -truth image-level labels to guide predictions from an |  novel manipulation detection tasks.
关键词: Image manipulation detection |  Implicit neural representation |  Weakly supervised learning |  Unsupervised learning

2. SCCA-Net: A Novel Network for Image Manipulation Localization Using Split-Channel Contextual Attention NSTL国家科技图书文献中心

Yan Xiang |  Kaiqi Zhao... -  《Computer Vision - ACCV 2024,Part VII》 -  Asian Conference on Computer Vision - 2025, - 220~234 - 共15页

摘要: end-to-end network designed specifically for Image |  Manipulation Localization (IML). SCCA-Net comprises four | This paper introduces SCCA-Net, an advanced |  critical modules: Split-Channel Contextual Attention |  (SCCA), Extractor, Encoder, and Decoder. The SCCA
关键词: Split-Channel contextual attention (SCCA) |  Parallel dynamic frequency aggregator (PDFA) |  Image manipulation localization (IML)

3. Multi-modality boundary-guided network for generalizable image manipulation localization NSTL国家科技图书文献中心

Yanyan Jiang |  Yongping Huang... -  《Multimedia systems》 - 2025,31(1) - 1.1~1.13 - 共13页

摘要:The main concern in image manipulation |  reliable image manipulation detection in real-world |  that can effectively detect various manipulation |  artifacts. This enables us to improve the manipulation |  M2BG-Net outperforms existing image tampering
关键词: Multi-modality feature learning |  Frequency |  Boundary semantic |  Generalization

4. Dual-decoding branch contrastive augmentation for image manipulation localization NSTL国家科技图书文献中心

Zeng Q. |  Wang H.... -  《Knowledge-based systems》 - 2025,309(Jan.30) - 1.1~1.14 - 共14页

摘要: detect malicious image manipulation has become an |  important research topic. The current image manipulation |  of image editing techniques, forensic analysis to |  manipulation regions and pristine regions. Next, we design a |  regions for copy-move manipulation detection. Finally
关键词: Contrastive learning |  Dual attention |  Dual-decoding |  Image forensics

5. DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation NSTL国家科技图书文献中心

Jeongsol Kim |  Geon Yeong Park... -  《Computer Vision - ECCV 2024,Part LXXXII》 -  European Conference on Computer Vision - 2025, - 398~414 - 共17页

摘要: emerged as main workhorses in recent years for image |  manipulation using latent diffusion models (LDMs). While |  for image editing and reconstruction. Through |  experiments involving image editing, SVG reconstruction and | Reverse sampling and score-distillation have
关键词: Latent diffusion model |  Generation |  Score distillation

6. Diving, Grabbing and Teleporting:Methods for Medical 3D Image Manipulation in VR NSTL国家科技图书文献中心

Lotta Orsmaa |  Jari Kangas... -  《Interacting with computers》 - 2025,37(2) - 105~119 - 共15页

摘要: medical image manipulation, which has gained interest in |  techniques. However, the medical 3D-VR image manipulation |  for medical 3D image manipulation tasks. Diving was |  VR medical image manipulation context, where even |  rather on the point of view of the user to the 3D image
关键词: virtual reality |  locomotion method |  3d model |  medical image

7. IFE-Net: Integrated feature enhancement network for image manipulation localization NSTL国家科技图书文献中心

Su L. |  Dai C.... -  《Image and vision computing》 - 2025,153(Jan.) - 1.1~1.11 - 共11页

摘要: social, legal and commercial. Numerous image tampering | © 2024 Elsevier B.V.Image tampering techniques |  can lead to distorted or misleading information | , which in turn poses a threat in many areas, including |  detection algorithms lose important low-level detail
关键词: Attention mechanism |  Edge supervision |  Tampered localization

8. CIMGEN: Controlled Satellite Image Manipulation by Finetuning Pretrained Generative Models on Limited Data NSTL国家科技图书文献中心

Chandrakanth Gudaval... |  Erik Rosten... -  《Pattern Recognition,Part XXI》 -  International Conference on Pattern Recognition - 2025, - 95~110 - 共16页

摘要:Content creation and image editing can |  interpretable low-dimensional representation of an image is |  objects present in the image. When compared to raw RGB |  satellite image to reflect the changes made to the map. We |  achieve this with traditional pre-trained image-to-image
关键词: Image editing |  Generative AI |  Image forensics

9. Medical Image Classification Attack Based on Texture Manipulation NSTL国家科技图书文献中心

Yunrui Gu |  Cong Kong... -  《Pattern Recognition,Part XII》 -  International Conference on Pattern Recognition - 2025, - 33~48 - 共16页

摘要: across various medical image classification systems |  methods aim at attacking natural image classification |  models, which inevitably add global noise to the image |  does not taking into account that medical image |  can provide attacks in various medical image
关键词: Medical diagnosis |  Adversarial attack |  Texture

10. AID-AppEAL: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment Labeling NSTL国家科技图书文献中心

Sherry X. Chen |  Yaron Vaxman... -  《Computer Vision - ECCV 2024,Part XIX》 -  European Conference on Computer Vision - 2025, - 19~36 - 共18页

摘要:We propose Image Content Appeal Assessment |  Image-Aesthetics Assessment (IAA), which judges an |  (ICAA), a novel metric that quantifies the level of |  positive interest an image's content generates for |  viewers, such as the appeal of food in a photograph
关键词: Image assessment |  Automated dataset creation |  Image manipulation
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