#243 · Primary category: Computer Vision

SegmentAnythingin3D

3d 3d-segmentation computer-vision deep-learning nerf segment-anything segmentation

Segment Anything in 3D with NeRFs (NeurIPS 2023 & IJCV 2025)

Project last updated:05/19/25

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1.0K

Forks

64

Contributors

5

License

Apache-2.0

Why we included this project

SA3D is the official implementation of the NeurIPS 2023 paper that moves Segment Anything's click-to-segment workflow into 3D. Given a trained NeRF, you mark the target object in a single rendered view and the framework propagates the mask through the volume, returning a segmented 3D model in about two minutes with no engineering optimization. A nerfstudio-based branch and a 3D Gaussian Splatting version cut that to seconds, and a 2025 dataset release adds deliberately hard scenes with occlusions, reflective surfaces, and multi-granularity objects to test against. For teams building object-level segmentation into 3D reconstruction pipelines, this is a solid reference to start from.

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