Papers with Code 아카이브

Synthetic Image Attribution

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
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평가표
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보존된 평가 기록
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Determine the source or origin of a generated image, such as identifying the model or tool used to create it. This information can be useful for detecting copyright infringement or for investigating digital crimes.

데이터셋

출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.

SuSy Dataset

The SuSy Dataset combines authentic photographs and AI-generated images designed for training and evaluating synthetic image detection models. It contains over 25,000 images from six different sources, including real-world photographs from COCO and synthetic images created by state-of-the-art diffusion models such as DALL-E 3, Midjourney, and Stable Diffusion. ## Authentic Images - COCO (Common Objects in Context): A large-scale object detection, segmentation, and captioning dataset. It includes over 330,000 images, with 200,000 labeled using 80 object categories. For this dataset, we use a random subset of 5,435 images. License: Creative Commons Attribution 4.0 license ## Synthetic Images - dalle-3-images: Contains 3,310 unique images generated using DALL-E 3. The dataset does not include the prompts used to generate the images. License: MIT license - diffusiondb: A large-scale text-to-image prompt dataset containing 14 million images generated by Stable Diffusion 1.x series models (2022). We use a random subset of 5,435 images. License:** CC0 1.0 Universal license - realisticSDXL: Contains images generated using the Stable Diffusion XL (SDXL) model released in July 2023. We use only the "realistic" category, which contains 5,435 images. License: CreativeML OpenRAIL-M license - midjourney-tti: Contains images generated using Midjourney V1 or V2 models (early 2022). The original dataset provided URLs, which were scraped to obtain the images. License: CC0 1.0 Universal license (for links only, images are property of users who generated them) - midjourney-images: Contains 4,308 unique images generated using Midjourney V5 and V6 models (2023). License: MIT license

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.