MiguelMonteiro / permutohedral_lattice
Permutohedral Lattice C++/CUDA implementation + TensorFlow Op (CPU/GPU)
☆83Updated 6 years ago
Alternatives and similar repositories for permutohedral_lattice:
Users that are interested in permutohedral_lattice are comparing it to the libraries listed below
- Repository for the ICCV 2019 paper Shape Reconstruction using Differentiable Projections and Deep Priors☆26Updated 5 years ago
- A python (numpy based) implementation of the original permutohedral lattice filtering code☆30Updated 7 years ago
- A python wrapper for gco-v3.0 package, used for graph cuts based MRF optimization.☆56Updated 6 years ago
- ☆58Updated 6 years ago
- Non-Rigid Point Set Registration Networks☆54Updated 6 years ago
- Learning Sparse High Dimensional Filters with Neural Networks☆69Updated 7 years ago
- Code release for ICCV 2019 Oral, "Linearized Multi-Sampling for Differentiable Image Transformation"☆52Updated last year
- ☆34Updated 6 years ago
- Point Convolutional Neural Networks by Extension Operators☆57Updated 5 years ago
- ☆45Updated 6 years ago
- Official PyTorch implementation of "End to End Trainable Active Contours via Differentiable Rendering"☆93Updated 5 years ago
- JF-Cut: A Parallel Graph Cut Approach for Large Scale Image and Video☆36Updated 9 years ago
- Superpixel SLIC for GPU (CUDA)☆70Updated 5 years ago
- ☆31Updated 7 years ago
- PyTorch code for Deep Extreme Level Set Evolution (CVPR 2019)☆69Updated 10 months ago
- The first fully convolutional metric learning for geometric/semantic image correspondences.☆88Updated 3 years ago
- This repository contains the code of our O-CNN paper.☆39Updated 5 years ago
- Code for "Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching", NeurIPS 2018.☆57Updated 5 years ago
- Differentiable RANSAC: Learning Robust Line Fitting☆225Updated 6 years ago
- Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)☆158Updated 5 years ago
- Python code for the fast bilateral solver☆236Updated 4 years ago
- Tools used in [2] to pre-process the ground truth segmentations to evaluate superpixel algorithms.☆25Updated 6 years ago
- Python wrappers for GCO alpha-expansion and alpha-beta-swaps☆138Updated 4 years ago
- Marr Revisited: 2D-3D Alignment via Surface Normal Prediction☆99Updated 6 years ago
- LSM: Learning Subspace Minimization for Low-Level Vision (CVPR'2020)☆45Updated 4 years ago
- Learning Superpixels with Segmentation-Aware Affinity Loss☆95Updated 6 years ago
- Learning auto-regressive depth fusion in the image domain (CVPR 2019)☆62Updated 5 years ago
- Quickly warp 3D images on the GPU using CUDA. Works with C and Python.☆24Updated 4 years ago
- Segment Graph Based Image Filtering: Fast Structure-Preserving Smoothing☆18Updated 7 years ago
- shape registration☆116Updated 2 years ago