Today, we are open-sourcing Hunyuan World 1.1 (WorldMirror), a universal…
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Today, we are open-sourcing Hunyuan World 1.1 (WorldMirror), a universal feed-forward 3D reconstruction model. 🚀🚀🚀 While our previously released Hunyuan World 1.0 (open-sourced, lite version deployable on consumer GPUs) focused on generating 3D worlds from text or single-view images, Hunyuan World 1.1 significantly expands the input scope by unlocking video-to-3D and multi-view-to-3D world creation. Highlights: 🔹Any Input, Maximized Flexibility and Fidelity: Flexibly integrates diverse geometric priors (camera poses, intrinsics, depth maps) to resolve structural ambiguities and ensure geometrically consistent 3D outputs. 🔹Any Output, SOTA Results：This elegant architecture simultaneously generates multiple 3D representations: dense point clouds, multi-view depth maps, camera parameters, surface normals, and 3D Gaussian Splattings. 🔹Single-GPU & Fast Inference: As an all-in-one, feed-forward model, Hunyuan World 1.1 runs on a single GPU and delivers all 3D attributes in a single forward pass, within seconds. 🌐Project Page: https://t.co/bbFzdTXUdU 🔗Github：https://t.co/tOjM5BAr9o 🤗Hugging Face：https://t.co/LwnlHiFFLX ✨Demo: https://t.co/gMQwz0vf35 📄Technical Report:…
Context
Tencent's WorldMirror reconstructs a scene from video or multiple images, with optional measurements to help resolve its geometry. Known camera positions, camera or depth can guide the model when available. Its architecture combines those inputs in one network and predicts representations such as 3D points and distances from the camera. This lets a reconstruction workflow use both visual evidence and existing geometric measurements, instead of requiring the model to infer everything from images alone.
- calibration — How well a model's confidence matches reality — a calibrated model saying "90% sure" is right about 90% of the time.
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