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arXiv · 2506.09665

VideoMat: Extracting PBR Materials from Video Diffusion Models

Jacob Munkberg·Zian Wang·Ruofan Liang·Tianchang Shen·Jon Hasselgren
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Abstract

We leverage finetuned video diffusion models, intrinsic decomposition of videos, and physically-based differentiable rendering to generate high quality materials for 3D models given a text prompt or a single image. We condition a video diffusion model to respect the input geometry and lighting condition. This model produces multiple views of a given 3D model with coherent material properties. Secondly, we use a recent model to extract intrinsics (base color, roughness, metallic) from the generated video. Finally, we use the intrinsics alongside the generated video in a differentiable path tracer to robustly extract PBR materials directly compatible with common content creation tools.

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Jacob Munkberg, Zian Wang, Ruofan Liang, Tianchang Shen, Jon Hasselgren. 2025-06-11. VideoMat: Extracting PBR Materials from Video Diffusion Models. https://arxiv.org/abs/2506.09665

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