GeoNeXt Repurposes Video Models for Data-Efficient Geometry Estimation
August 27, 2026
GeoNeXt treats geometry estimation as a next-frame prediction task using pretrained video generative models. This approach enables unified depth and surface normal estimation without the need for large-scale labeled geometric datasets required by standard diffusion fine-tuning.
HOW THIS AFFECTS YOU
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builderThis offers a more data-efficient path for integrating depth sensing into generative pipelines.
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researcherYou can leverage temporal consistency in video models to solve spatial estimation tasks.