3D Shape Reconstruction
59 papers with code • 2 benchmarks • 8 datasets
Latest papers with no code
CenterArt: Joint Shape Reconstruction and 6-DoF Grasp Estimation of Articulated Objects
Precisely grasping and reconstructing articulated objects is key to enabling general robotic manipulation.
PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction
In our experiments, we apply our algorithm to reconstruct 3D objects in the ScanNet dataset and evaluate our results against CAD model retrieval-based reconstructions.
Object-Centric Domain Randomization for 3D Shape Reconstruction in the Wild
One of the biggest challenges in single-view 3D shape reconstruction in the wild is the scarcity of <3D shape, 2D image>-paired data from real-world environments.
Bayesian Diffusion Models for 3D Shape Reconstruction
We present Bayesian Diffusion Models (BDM), a prediction algorithm that performs effective Bayesian inference by tightly coupling the top-down (prior) information with the bottom-up (data-driven) procedure via joint diffusion processes.
ZeroShape: Regression-based Zero-shot Shape Reconstruction
In contrast, the traditional approach to this problem is regression-based, where deterministic models are trained to directly regress the object shape.
DreaMo: Articulated 3D Reconstruction From A Single Casual Video
In this work, we study articulated 3D shape reconstruction from a single and casually captured internet video, where the subject's view coverage is incomplete.
TouchSDF: A DeepSDF Approach for 3D Shape Reconstruction using Vision-Based Tactile Sensing
To address these challenges, we propose TouchSDF, a Deep Learning approach for tactile 3D shape reconstruction that leverages the rich information provided by a vision-based tactile sensor and the expressivity of the implicit neural representation DeepSDF.
Textureless Deformable Surface Reconstruction with Invisible Markers
Leveraging the markers, we design a multi-camera system that captures surface deformation under the UV light and the visible light in a time multiplexing fashion.
An End-to-end Food Portion Estimation Framework Based on Shape Reconstruction from Monocular Image
Dietary assessment is a key contributor to monitoring health status.
3D shape reconstruction of semi-transparent worms
3D shape reconstruction typically requires identifying object features or textures in multiple images of a subject.