The image generation field has welcomed a striking new star. A mysterious model named "Blueberry" has suddenly appeared in the AI arena, rapidly rising to the top with its astonishing performance, sparking widespread attention and discussion in the industry. This model, called "Blueberry," has outperformed well-known competitors, including OpenAI's "Strawberry," Flux.1, Ideogram v2, and Midjourney v6.1, swiftly becoming the new champion in the image generation domain. However, the true identity of "Blueberry" remains unclear.

Image matching is a fundamental task in computer vision. Recently, matching models based on deep learning have gradually gained popularity. Xiamen University, Intel, and DJI have introduced GIM: Learning Generalizable Image Matcher from Internet Videos. GIM enables matching models to learn strong generalization capabilities from internet videos. The GIM framework is suitable for all matching models, including DKM, LoFTR, and SuperGlue. The authors have proposed the first ...

Digimarc has recently launched the Digimarc Validate service, allowing copyright owners to embed digital watermarks in their works to protect intellectual property. This service helps address copyright infringement issues in AI model training. Digital watermarking technology can more effectively track and protect the intellectual property of digital assets. AI companies are facing copyright infringement lawsuits, and digital watermarking is expected to provide a safer environment. The U.S. Copyright Office and the White House are also paying attention to the development of digital watermarking technology.

Digimarc has launched the Digimarc Validate technology, allowing content copyright holders to embed copyright information in digital assets. This enables AI models to identify protected content during training, helping to prevent unauthorized use. The effectiveness of this service depends on whether AI companies proactively avoid using protected content.