On November 12, 2024, the Baidu World Conference grandly opened at the Shanghai World Expo Center. The conference included a main forum, four sub-forums, and over thirty sessions of public courses on artificial intelligence. Baidu's founder, Robin Li, delivered a speech titled 'Applications Have Arrived' at the main forum, introducing Baidu's latest technological breakthroughs and application achievements in the field of artificial intelligence, while also providing an in-depth discussion on future industry trends.

ByteDance announced that its AI smart assistant Doubao PC has launched a new feature that allows users to easily edit images without the need for professional photo editing skills. Users can simply visit doubao.com, select 'Image Generation' to create an image, click 'Continue Editing', and enter simple instructions to complete the editing with one click. Additionally, users can upload images for further processing through the 'Reference Image' entry.

Baidu AI's Wenxin Yiyuan AI painting technology has received a major upgrade, now supporting one-click generation of images in multiple aspect ratios, greatly simplifying the image preparation process for new media. The professional version of Wenxin Yiyuan AI painting technology allows users to input the desired image aspect ratio, and the system can automatically generate images in multiple sizes, covering various needs within a width-to-height ratio of 2:1. For example, simply adding the aspect ratio term '3:4' to the prompt will prompt the system to generate images of the corresponding size. This technology not only improves work efficiency but also enhances visual effects, significantly benefiting new media.

Recent research from Alibaba's Tongyi Laboratory indicates that existing text-to-image Diffusion Transformer models already possess the ability to generate multiple images with specific relational contexts. With just a little 'guidance', they can achieve a synthesis of understanding and produce high-quality multi-image collections. Traditional Diffusion models are more like 'rote learning' students, requiring massive datasets to generate high-quality images. However, with the support of IC-LoRA, they become 'high-achieving students', capable of learning through analogy.

Recently, the image AI startup Recraft released its latest text-generating image model, Recraft v3, which has shown exceptional performance in independent testing, redefining the standards for image generation performance. According to Recraft, the v3 model excels in generating text within images, maintaining anatomical accuracy, understanding prompts, and creating high-quality visual content. Its biggest breakthrough is the ability to accurately present long segments of text in a single generation, while many other models struggle with more than a few words.

Meitu announced that its MiracleVision model has achieved another upgrade in image generation capabilities, marking a further enhancement of its overall strength. At the same time, Meitu introduced a one-stop AI short video creation tool called MOKI, which is expected to gradually cover the product ecosystem under Meitu, providing users with a new visual experience.

Recently, a research team from the Beijing Academy of Artificial Intelligence launched a new image generation model called OmniGen. Unlike previous tools such as Stable Diffusion, which focused on a single task, OmniGen's biggest highlight is its multi-capability: it can handle a variety of image generation tasks within a unified framework, including text-to-image generation and image editing, making it a versatile player. This means that users only need to provide simple prompts.

Google's DeepMind, in collaboration with the Massachusetts Institute of Technology (MIT), recently announced a significant research breakthrough. The research team developed a new autoregressive model called 'Fluid', which has made groundbreaking progress in the field of text-to-image generation. After scaling up to 10.5 billion parameters, the model has demonstrated outstanding performance. This research overturns the industry's common perception; while autoregressive models have dominated the language processing domain, they have traditionally been seen as inferior to Stable Diffusion and Goog.

Recently, Canva introduced a series of brand new AI features, the most notable being its image generation tool - 'Dream Lab'. This tool was launched after Canva acquired the generative AI startup Leonardo.ai and utilizes Leonardo's Phoenix model (just don't confuse it with Adobe's Firefly AI). Users can now generate images in various styles simply by describing them, such as

A recent study proposed a new method that leverages human attention to enhance the quality of AI-generated images. This method uses a saliency detector to identify the most important areas in the image and prioritizes the generation of these areas. Traditional image generation methods optimize the entire image uniformly, whereas the new method identifies and prioritizes more 'important' regions, similar to human attention. This approach can improve image quality and fidelity to textual prompts. Researchers utilized stable diffusion models and saliency detectors to generate images, and

Recently, a research team jointly launched an open-source AI image generation model named Meissonic. Surprisingly, this model uses only one billion parameters while being able to generate high-quality images. This compact design gives Meissonic the potential to enable localized text-to-image applications on mobile devices. The technology behind this model involves a research team that includes Alibaba, Skywork AI, and researchers from various universities. They employed a unique transformer architecture and innovative training methods, which allow

Apple is working behind the scenes to add new Apple Intelligence features to iOS 18, iPadOS 18, and macOS 15. We will see the first batch of features in the iOS 18.1, iPadOS 18.1, and macOS 15.1 updates, but Apple is also preparing for the next set of features. MacRumors has discovered new references to ChatGPT integration for Siri, as Apple is getting ready to implement ChatGPT support.

Midjourney recently announced a series of exciting updates and upcoming new features, indicating the company's rapid development and innovation in the field of AI image generation. Firstly, Midjourney is set to launch a new online editor that will allow users to import images and edit them using built-in depth maps and image restoration features. The team is actively discussing what features will be included in the initial release and is optimizing the user interface to differentiate the new features from the existing image functionalities. Additionally, content moderation...

Google Gemini recently announced on its official Twitter account that the highly anticipated Imagen 3 image generation feature is now available to all Gemini users worldwide. This major update marks an important step for Google in the field of AI image generation, providing users with more powerful and flexible creation tools. Imagen 3, as the latest version in the Imagen series, brings several significant improvements compared to its predecessor, Imagen 2. According to Google's official introduction, these improvements mainly focus on...

Google's Gemini platform recently announced that their next-generation image generation model, Imagen3, is now open for use by all users worldwide. Imagen3 is touted as Google's highest-quality image generation model to date, delivering greater realism and improved instruction-following capability. Compared to previous versions, Imagen3 has significantly reduced distracting artifacts during the image generation process, enabling users to achieve the desired image effects more easily. This means that if you have any creative ideas and concepts...