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Hunyuan World 1.1 (WorldMirror) training code goes public

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Tencent Hy@TencentHunyuan

The training code for Hunyuan World 1.1 (WorldMirror) is released now!🔥🔥🔥 This release provides researchers and developers the full stack for customization and fine-tuning: 📷 Your video to 3D worlds in 1 second. 🪄ANY input (image, video, 3D prior) to ANY output (3DGS, depth, cameras, normal, points) Start customizing your model and exploring the demo! Online demo: https://t.co/gMQwz0vf35 Code:

Context

Tencent's WorldMirror training-code release gives researchers a way to adapt its image-and-video reconstruction model. WorldMirror estimates 3D scene information, including depth, camera properties and points in space. The training documentation provides dataset preparation, training configurations and checkpoint .

Researchers can choose which kinds of output the model learns to predict, such as depth or camera information, by enabling or disabling the corresponding prediction components. That makes the release useful for experiments requiring a particular reconstruction task, rather than only running the supplied demonstration.

Terms in this piece · Glossary
  • eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
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