Search Results for author:
Found 8 papers, 6 papers with code
3Doodle: Compact Abstraction of Objects with 3D Strokes
We propose 3Dooole, generating descriptive and view-consistent sketch images given multi-view images of the target object.
LDL: Line Distance Functions for Panoramic Localization
We introduce LDL, a fast and robust algorithm that localizes a panorama to a 3D map using line segments.
Balanced Spherical Grid for Egocentric View Synthesis
However, the na\"ive spherical grid suffers from irregularities at two poles, and also cannot represent unbounded scenes.
IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields
However, they are limited to representing isolated objects with a shared environment lighting, and suffer from computational burden to aggregate rays with Monte Carlo integration.
CPO: Change Robust Panorama to Point Cloud Localization
By utilizing the unique equivariance of spherical projections, we propose very fast color histogram generation for a large number of camera poses without explicitly rendering images for all candidate poses.
Probabilistic Implicit Scene Completion
We also demonstrate that our approach outperforms deterministic models even in less ambiguous cases with a small amount of missing data, which infers that probabilistic formulation is crucial for high-quality geometry completion on input scans exhibiting any levels of completeness.
PICCOLO: Point Cloud-Centric Omnidirectional Localization
Our loss function, called sampling loss, is point cloud-centric, evaluated at the projected location of every point in the point cloud.
Learning to Generate 3D Shapes with Generative Cellular Automata
We formulate the shape generation process as sampling from the transition kernel of a Markov chain, where the sampling chain eventually evolves to the full shape of the learned distribution.
