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Found 10 papers, 9 papers with code
iSeg: Interactive 3D Segmentation via Interactive Attention
We present iSeg, a new interactive technique for segmenting 3D shapes.
3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation
In this work we develop 3D Paintbrush, a technique for automatically texturing local semantic regions on meshes via text descriptions.
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions
A key feature of our system is the ability to interpret "out-of-domain" localizations.
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
Scene flow estimation is a long-standing problem in computer vision, where the goal is to find the 3D motion of a scene from its consecutive observations.
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes
In this setting, an adversarial input mesh deceives the autoencoder by forcing it to reconstruct a different geometric shape at its output.
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
We present a new method for real-time non-rigid dense correspondence between point clouds based on structured shape construction.
Ranked #4 on
3D Dense Shape Correspondence
on SHREC'19
Geometric Adversarial Attacks and Defenses on 3D Point Clouds
Additionally, we demonstrate the robustness of our attack in the case of defense, where we show that remnant characteristics of the target shape are still present at the output after applying the defense to the adversarial input.
Co-occurrence Based Texture Synthesis
As image generation techniques mature, there is a growing interest in explainable representations that are easy to understand and intuitive to manipulate.
SampleNet: Differentiable Point Cloud Sampling
As the size of the point cloud grows, so do the computational demands of these tasks.
