3D Plane Detection
7 papers with code • 0 benchmarks • 0 datasets
Image: Liu et al
Benchmarks
These leaderboards are used to track progress in 3D Plane Detection
Most implemented papers
PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image
NVlabs/planercnn
•
•
CVPR 2019
This paper proposes a deep neural architecture, PlaneRCNN, that detects and reconstructs piecewise planar surfaces from a single RGB image.
Latent RANSAC
We present a method that can evaluate a RANSAC hypothesis in constant time, i. e. independent of the size of the data.
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
svip-lab/PlanarReconstruction
•
•
CVPR 2019
In the first stage, we train a CNN to map each pixel to an embedding space where pixels from the same plane instance have similar embeddings.
DeepInSAR: A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation
In this work, we propose a deep convolutional neural network (CNN) based model DeepInSAR to intelligently solve both the phase filtering and coherence estimation problems.
PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos
neu-vi/PlanarRecon
•
•
CVPR 2022
We present PlanarRecon -- a novel framework for globally coherent detection and reconstruction of 3D planes from a posed monocular video.
MonoPlane: Exploiting Monocular Geometric Cues for Generalizable 3D Plane Reconstruction
This paper presents a generalizable 3D plane detection and reconstruction framework named MonoPlane.
Towards In-the-wild 3D Plane Reconstruction from a Single Image
To address the challenge of achieving desirable planar geometry on multi-dataset training, we propose to disentangle the representation of plane normal and offset, and employ an exemplar-guided, classification-then-regression paradigm to learn plane and offset respectively.
