It was difficult to miss Tripo AI at Siggraph 2026, and not just because of the very large bright yellow bags emblazoned with the company’s logo being toted around by many on the show floor. Or, the spacious, eye-catching booth and constant crowds. Tripo’s leaders presented a keynote focused on the company’s 3D generative AI and world models. It also participated in Siggraph’s GenAI hackathon, stage sessions, and more, presented five technical papers, and hosted a happy hour too. But what really made people take notice was what the company was serving up: its full-stack 3D-generation ecosystem. So impressive was the live system that generates fully textured, rigged, and animated 3D assets from images in seconds that it won the Siggraph 2025 Real-Time Live Best in Show award.
China-based Tripo AI (with offices in Beijing, Hangzhou, and other locations throughout China) was founded in 2023 by Beijing start-up Vast, with the long-term goal of making interactive 3D content easier to create. It began with 3D asset generation, the company says, since an interactive world needs usable objects before it can support motion, behavior, or shared experience. This led to development of the company’s own 3D foundation models, followed by Tripo Studio and the Tripo API.
The Tripo AI 3D generation platform turns a text prompt, single photo, a few multi-view images, or even a rough sketch into a usable 3D model in seconds. Instead of blocking out geometry by hand, the user describes or illustrates what they’d like, and the model reconstructs the mesh, textures, and materials for them. It runs entirely in the browser through Tripo Studio, with a separate Tripo AI for developers that want to generate assets programmatically.
According to the company, the output is meant as a fast starting point for games, 3D printing, product design, animation, AR/VR, and concept work assets that can be refined further in other DCC tools. Tripo 3D points out that the time from prompt to a previewable 3D model takes second. Approximately 500K polygons are supported on the latest models.
And now, Tripo AI is building a connected workflow for structured topology, segmentation, texturing, rigging, animation, and export. Project Eden, the latest development, takes the same research into a new area, studying how a world can maintain an evolving state separately from the images shown to each viewer. All along, the company’s direction has been consistent: First make the assets usable, then study how those assets can persist, change, and interact inside a world.
JPR talked with Yan-Pei Cao, chief scientist at Tripo AI, as the company if often referred to, during Siggraph 2026, about Tripo AI’s technology and what is next.
