Video Generative Models as Geometry Learner
Paper • 2608.28549 • Published • 12
GeoNeXt
Video Generative Models as Geometry Learner
GeoNeXt is a unified framework for monocular depth and surface normal estimation, repurposing pretrained video generative models for geometry prediction through a next-frames formulation.
- Paper: Video Generative Models as Geometry Learner
- Project page: https://happy-hsy.github.io/projects/GeoNeXt/
- GitHub: https://github.com/Creative-Intelligence-Studio/GeoNeXt
- Model checkpoints: happy0612/GeoNeXt
The repository contains checkpoints for GeoNeXt-Wan and GeoNeXt-SVD. Follow the instructions in the GitHub repository to run inference for depth and normal estimation.
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