TreeGaussian introduces a tree-guided cascaded contrastive framework that models hierarchical semantic relationships in 3D Gaussian scenes to improve consistent segmentation and understanding.
In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
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3AM integrates MUSt3R 3D features into SAM2 via a Feature Merger and FOV-aware sampling to deliver geometry-consistent video object segmentation from RGB alone, with large gains on wide-baseline datasets.
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TreeGaussian: Tree-Guided Cascaded Contrastive Learning for Hierarchical Consistent 3D Gaussian Scene Segmentation and Understanding
TreeGaussian introduces a tree-guided cascaded contrastive framework that models hierarchical semantic relationships in 3D Gaussian scenes to improve consistent segmentation and understanding.
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3AM: 3egment Anything with Geometric Consistency in Videos
3AM integrates MUSt3R 3D features into SAM2 via a Feature Merger and FOV-aware sampling to deliver geometry-consistent video object segmentation from RGB alone, with large gains on wide-baseline datasets.