HunyuanVideo
HunyuanVideo is an advanced AI-powered video generation model developed by Tencent, designed to seamlessly blend virtual and real elements, offering limitless creative possibilities. It delivers cinematic-quality videos with natural movements and precise expressions, capable of transitioning effortlessly between realistic and virtual styles. This technology overcomes the constraints of short dynamic images by presenting complete, fluid actions and rich semantic content, making it ideal for applications in advertising, film production, and other commercial industries.
Learn more
Atlas by World Labs
Atlas is a next-generation omni world model for spatial intelligence that natively operates on text, images, video, and 3D. Built as a multimodal autoregressive diffusion transformer, it combines inputs into a shared spatial context and generates what comes next while staying consistent in 3D with everything it has seen and imagining what lies beyond it. Atlas supports world generation, reconstruction, and simulation across a broad range of tasks. It can generate images and videos from one or more reference images with pixel-perfect camera control, producing long, coherent videos with manually designed camera paths. For spatial reconstruction, Atlas can recreate real-world scenes from sparse input images, generate novel views, and produce explicit 3D outputs such as point clouds and 3D Gaussian splats. More input views provide additional context, allowing the model to reduce imagination and create increasingly faithful reconstructions. Atlas also models how worlds evolve over time.
Learn more
WorldClaw
WorldClaw is a fully agentic, coarse-to-fine framework for generating large-scale, freely explorable, and editable 3D open worlds from open-ended text prompts. Rather than synthesizing an entire world in a single pass, it follows a global-to-regional construction strategy that maintains coherent spatial organization while adding rich local detail. Planning agents first translate a prompt into a structured scene specification covering regions, terrain, assets, materials, visual style, and spatial relationships. It builds a globally coherent terrain foundation using semantic layouts, reusable assets, generative or procedural materials, and region-aware height fields. For regions requiring greater detail, WorldClaw creates terrain-conditioned compositions, reconstructs editable textured meshes, and recovers their placement within the scene. Render-based agents further refine terrain geometry, objects, appearance, arrangements, and contacts with the environment.
Learn more
Hunyuan T1
Hunyuan T1 is Tencent's deep-thinking AI model, now fully open to all users through the Tencent Yuanbao platform. This model excels in understanding multiple dimensions and potential logical relationships, making it suitable for handling complex tasks. Users can experience various AI models on the platform, including DeepSeek-R1 and Tencent Hunyuan Turbo. The official version of the Tencent Hunyuan T1 model will also be launched soon, providing external API access and other services. Built upon Tencent's Hunyuan large language model, Yuanbao excels in Chinese language understanding, logical reasoning, and task execution. It offers AI-based search, summaries, and writing capabilities, enabling users to analyze documents and engage in prompt-based interactions.
Learn more
