Effortless 2D-Guided, 3D Gaussian Segmentation: Related Work

Machine Learning Tech Brief By HackerNoon

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This story was originally published on HackerNoon at: https://hackernoon.com/effortless-2d-guided-3d-gaussian-segmentation-related-work.
Efficient 3D Gaussian segmentation guided by 2D models achieves fast, accurate multi-object segmentation, advancing 3D scene understanding and editing.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #gaussian-clustering, #3d-gaussian-segmentation, #3d-scene-understanding, #2d-to-3d-supervision, #ai-in-3d-graphics, #semantic-information-learning, #point-based-rendering, and more.
This story was written by: @escholar. Learn more about this writer by checking @escholar's about page, and for more stories, please visit hackernoon.com.
3D Gaussian, a recently proposed explicit representation method, has attained remarkable achievements in three-dimensional scene reconstruction. Using a series of scene images and corresponding camera data, it employs 3D Gaussians to depict scene objects. Gaussian Splatting then utilizes point-based rendering for efficient 3D to 2D projection.

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Effortless 2D-Guided, 3D Gaussian Segmentation: Related Work

Machine Learning Tech Brief By HackerNoon

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1
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Effortless 2D-Guided, 3D Gaussian Segmentation: Related Work