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Found 8 papers, 5 papers with code
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation
We propose a weakly supervised semantic segmentation method for point clouds that predicts "per-point" labels from just "whole-scene" annotations while achieving the performance of recent fully supervised approaches.
BlendFields: Few-Shot Example-Driven Facial Modeling
Generating faithful visualizations of human faces requires capturing both coarse and fine-level details of the face geometry and appearance.
CoNeRF: Controllable Neural Radiance Fields
We extend neural 3D representations to allow for intuitive and interpretable user control beyond novel view rendering (i. e. camera control).
TrajeVAE: Controllable Human Motion Generation from Trajectories
The creation of plausible and controllable 3D human motion animations is a long-standing problem that requires a manual intervention of skilled artists.
Modeling 3D Surface Manifolds with a Locally Conditioned Atlas
This way, we can sample a mesh quad on that sphere and project it back onto the object's manifold.
UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree
On the contrary, we propose a model that extracts a CSG parse tree without any supervision - UCSG-Net.
Representing Point Clouds with Generative Conditional Invertible Flow Networks
To exploit similarities between same-class objects and to improve model performance, we turn to weight sharing: networks that model densities of points belonging to objects in the same family share all parameters with the exception of a small, object-specific embedding vector.
UCSG-Net -- Unsupervised Discovering of Constructive Solid Geometry Tree
On the contrary, we propose a model that extracts a CSG parse tree without any supervision - UCSG-Net.
