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GeoNeXt
happy0612/GeoNeXt
GeoNeXt is a depth estimation model from happy0612. Use it for the depth estimation task on the model card, and read the license before you ship it in a product. It is set up for diffusers.
Video Generative Models as Geometry Learner
Access
Public
Updated Sep 1, 2026
Repo size
8.9 GB
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5
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Repo makeup
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.safetensors8.9 GB · 100%
At a glance
- Task
- Depth Estimation
- Library
- diffusers
- Access
- Public
- Created
- Aug 30, 2026
- Updated
- Sep 1, 2026
- SHA
- 2a786e5a
Spaces
Model card
From the Hugging Face model README
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.
- Task
- Depth Estimation
- Library
- diffusers
- Created
- Aug 30, 2026
- Updated
- Sep 1, 2026