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Found 4 papers, 1 papers with code
GaussianPro: 3D Gaussian Splatting with Progressive Propagation
The advent of 3D Gaussian Splatting (3DGS) has recently brought about a revolution in the field of neural rendering, facilitating high-quality renderings at real-time speed.
DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects
Unsupervised methods for reconstructing structures face significant challenges in capturing the geometric details with consistent structures among diverse shapes of the same category.
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field
Under the Lagrangian view, we parameterize the scene motion by tracking the trajectory of particles on objects.
Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds
In this paper, we propose an unsupervised shape abstraction method to map a point cloud into a compact cuboid representation.
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