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Found 9 papers, 2 papers with code
Imperceptible Protection against Style Imitation from Diffusion Models
Recent progress in diffusion models has profoundly enhanced the fidelity of image generation.
A Framework for Portrait Stylization with Skin-Tone Awareness and Nudity Identification
Portrait stylization is a challenging task involving the transformation of an input portrait image into a specific style while preserving its inherent characteristics.
DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models
Recent progresses in large-scale text-to-image models have yielded remarkable accomplishments, finding various applications in art domain.
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
It significantly outperforms traditional and deep neural network-based methods in detecting and localizing tampered regions.
Ranked #3 on
Image Manipulation Detection
on Casia V1+
DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms
In this article, we aim to detect the double compression of MPEG-4, a universal video codec that is built into surveillance systems and shooting devices.
Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features
The proposed network uses a stack of consecutive frames as the input and effectively learns interpolation artifacts using network blocks to learn spatiotemporal features.
WAN: Watermarking Attack Network
Multi-bit watermarking (MW) has been developed to improve robustness against signal processing operations and geometric distortions.
Deep Convolutional Neural Network for Identifying Seam-Carving Forgery
Seam carving is a representative content-aware image retargeting approach to adjust the size of an image while preserving its visually prominent content.
BitMix: Data Augmentation for Image Steganalysis
Convolutional neural networks (CNN) for image steganalysis demonstrate better performances with employing concepts from high-level vision tasks.
