Google DeepMind has made its latest AI image generator, Imagen 3, free for use in the U.S. via the company’s ImageFX platform. Imagen 3 will be available in multiple versions, “each optimized for different types of tasks, from generating quick sketches to high-resolution images.” Google announced Imagen 3 at Google I/O in March, and in June made it available to enterprise users through Vertex. Using simplified natural language text input rather than “complex prompt engineering,” Google says Imagen 3 generates high-quality images in a range styles, from photorealistic, painterly and textured to whimsically cartoony. Continue reading Google DeepMind Releases Imagen 3 for Free to U.S. Users

London-based AI-startup Synthesia, which creates avatars for enterprise-level generative video presentations, has added “Expressive Avatars” to its feature kit. Powered by Synthesia’s new Express-1 model, these fourth-generation avatars have achieved a new benchmark in realism by using contextual expressions that approximates human emotion, the company says. Express-1 has been trained “to understand the intricate relationship between what we say and how we say it,” allowing Expressive Avatars to perform a script with the correct vocal tone, body language and lip movement, “like a real actor,” according to Synthesia. Continue reading Synthesia Express-1 Model Gives ‘Expressive Avatars’ Emotion

Google has come up with a new approach to high resolution AI video generation with Lumiere. While most GenAI video models output individual high resolution frames at various points in the sequence (called “distant keyframes”), fill in the missing frames with low-res images to create motion (known as “temporal super-resolution,” or TSR), then up-res that connective tissue (“spatial super-resolution,” or SSR) of non-overlapping frames, Lumiere takes what Google calls a “Space-Time U-Net architecture,” which processes all frames at once, “without a cascade of TSR models, allowing us to learn globally coherent motion.” Continue reading Google Takes New Approach to Create Video with Lumiere AI

As creators embrace artificial intelligence to juice creativity, TikTok is launching a tool that helps them label their AI-generated content while also beginning to test “ways to label AI-generated content automatically.” “AI enables incredible creative opportunities, but can potentially confuse or mislead viewers,” TikTok said in announcing labels that can apply to “any content that has been completely generated or significantly edited by AI,” including video, photographs, music and more. The platform also touted a policy that “requires people to label AI-generated content that contains realistic images, audio or video, in order to help viewers contextualize.” Continue reading TikTok Creates New Tools for Labeling Content Created by AI

OpenAI has released the DALL-E 3 generative AI imaging platform in research preview. The latest iteration features more safety options and integrates with OpenAI’s ChatGPT, currently driven by the now seasoned large language model GPT-4. That is the ChatGPT version to which Plus subscribers and enterprise customers have access — the same who will be able to preview DALL-E 3. The free chatbot is built around GPT-3.5. OpenAI says GPT-4 makes for better contextual understanding by DALL-E, which even in version 2 evidenced some glaring comprehension glitches. Continue reading OpenAI’s Latest Version of DALL-E Integrates with ChatGPT

A technique called light field capture will become the foundation for photoreal virtual actors for virtual reality, says Paul Debevec, chief visual officer at the University of Southern California’s Institute of Creative Technologies (ICT). At the recent VRLA Expo, Debevec gave a talk on the topic that explored two decades of research and development in light field capture technology, and described the basics of what makes this technique so compelling to create photorealistic virtual reality. Continue reading ABCs of Light Field Capture, Key to Photorealistic Virtual Reality