https://github.com/HPAI-BSC/SuSy
공식 코드Present and Future Generalization of Synthetic Image Detectors
Papers with Code 아카이브
Synthetic Image Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Identify if the image is real or generated/manipulated by any generative models (GAN or Diffusion).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Michel-liu/FatFormer
공식 코드Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
https://github.com/V-i-g-n-e-s-h-N/VERITAS
공식 코드VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems
https://github.com/ajev-research/agg-layers-deepfake-detection
공식 코드https://github.com/arefaz/e3-ensemble-of-expert-embedders-cvprwmf24
공식 코드https://github.com/awsaf49/artifact
공식 코드https://github.com/cvpaperchallenge/detect-fake-with-fake
공식 코드Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection
https://github.com/delyan-boychev/imaginet
공식 코드ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection
https://github.com/highwaywu/lasted
공식 코드Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
https://github.com/idlabmedia/tgif-dataset
공식 코드https://github.com/mamadou-keita/vlm-detect
공식 코드Bi-LORA: A Vision-Language Approach for Synthetic Image Detection
https://github.com/megum1/co-spy
공식 코드CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
https://github.com/mever-team/rine
공식 코드Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection
https://github.com/mever-team/sidbench
공식 코드SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection Methods
https://github.com/mever-team/texture-crop
공식 코드TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping
https://github.com/ouxiang-li/safe
공식 코드Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
https://github.com/sergo2020/dif_pytorch_official
공식 코드Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis
https://github.com/sutd-visual-computing-group/Fourier-Discrepancies-CNN-Detection
공식 코드A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection
https://github.com/yzy-stack/effort-aigi-detection
공식 코드Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
https://github.com/Recognito-Vision/Linux-FaceRecognition-FaceLivenessDetection
https://github.com/sclbd/deepfakebench
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
https://github.com/scu-zjz/forensichub
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.