TreeGaussian introduces a tree-guided cascaded contrastive framework that models hierarchical semantic relationships in 3D Gaussian scenes to improve consistent segmentation and understanding.
Communications of the ACM65(1), 99–106 (2021)
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SEGS constructs structural energy in the PCA subspace of U-Net features and injects its gradient into the denoising process to improve multi-view consistency in text-to-3D generation.
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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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Structural Energy Guidance for View-Consistent Text-to-3D Generation
SEGS constructs structural energy in the PCA subspace of U-Net features and injects its gradient into the denoising process to improve multi-view consistency in text-to-3D generation.