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This is the source code of paper FIN: Flow-based Robust Watermarking with Invertible Noise Layer for Black-box Distortions, which is received by AAAI' 23.
PyTorch implementation of “Purified and Unified Steganographic Networks” (CVPR 2024)
SteganoGAN is a tool for creating steganographic images using adversarial training.
PyTorch implementation of adversarial attacks [torchattacks]
提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手
Effective estimation of image rotation angle using spectral method
Toward Convolutional Blind Denoising of Real Photograph
VCNet: a robust approach to blind image inpainting, ECCV2020
TIP2023 - Deep Rotation Correction without Angle Prior
基于CNN的旋转验证码解决方案✨Predict the rotation angle of given captcha picture through CNN
旋转验证码绕过, 本项目是基于 构建图像特征库 预测验证码旋转角度的一种解决方案 欢迎 Star ⭐
PyTorch implementation of Unsupervised Representation Learning by Predicting Image Rotations
PyTorch implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions (ECCV 2018)"
deep learning for image processing including classification and object-detection etc.
Reproduction of "VCNet: A Robust Approach to Blind Image Inpainting"
A pytorch implementation of Deep Residual Network for Steganalysis of Digital Images (SRNet)
[TVCG'2023] AOT-GAN for High-Resolution Image Inpainting (codebase for image inpainting)
The official implementation of the IEEE S&P`22 paper "SoK: How Robust is Deep Neural Network Image Classification Watermarking".
Steganographic shcemes with polar codes and polarized steganographic channels.
source code for paper "Deep Cross-Modal Hashing"
Official repository of "DeepMIH: Deep Invertible Network for Multiple Image Hiding", TPAMI 2022.
PyTorch implementation for paper "Deep Cross-Modal Hashing"
CVPR2020/TNNLS2023: Central Similarity Quantization/Hashing for Efficient Image and Video Retrieval