TransSplat formulates language-driven 3D Gaussian Splatting editing as a multi-view unbalanced semantic transport problem, achieving better cross-view consistency and local editing precision than prior fusion-based methods on 8 benchmark scenes.
Diff-unet: A diffu- sion embedded network for volumetric segmentation
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Training-free guidance of a pretrained 3D rectified flow model enables weakly-supervised lung nodule segmentation using only image-level labels and produces improved results on the LUNA16 dataset.
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RF-HiT: Rectified Flow Hierarchical Transformer for General Medical Image Segmentation
TransSplat formulates language-driven 3D Gaussian Splatting editing as a multi-view unbalanced semantic transport problem, achieving better cross-view consistency and local editing precision than prior fusion-based methods on 8 benchmark scenes.
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Weakly-Supervised Lung Nodule Segmentation via Training-Free Guidance of 3D Rectified Flow
Training-free guidance of a pretrained 3D rectified flow model enables weakly-supervised lung nodule segmentation using only image-level labels and produces improved results on the LUNA16 dataset.