71 skills found · Page 1 of 3
geomstats / GeomstatsComputations and statistics on manifolds with geometric structures.
HannesStark / EquiBindEquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
aqlaboratory / RgnRecurrent Geometric Networks for end-to-end differentiable learning of protein structure
drorlab / Gvp PytorchGeometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure
DeepGraphLearning / GearNetGearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)
Kitware / GlanceKitware Glance is an open-source web application developed at Kitware for visualizing volumetric images, molecular structures, geometric objects, and point clouds. It is part of the ParaView platform and can serve as a foundation for building custom web-based visualization applications involving ITK.js and VTK.js.
USTCPCS / CVPR2018 AttentionContext Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
drorlab / GvpGeometric Vector Perceptron --- a rotation-equivariant GNN for learning from biomolecular structure
LBM-EPFL / PeSToGeometric deep learning method to predict protein binding interfaces from a protein structure.
chao1224 / Geom3DGeom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
noinia / HgeometryHGeometry is a library for computing with geometric objects in Haskell. It defines basic geometric types and primitives, and it implements some geometric data structures and algorithms.
davreev / SpatialSlurGeometric data structures and algorithms for computational design tasks
EdwardSmith1884 / GEOMetricsRepo for the paper "GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects"
flowerDuo / GES GSP StitchingThe repository contains our dataset and C++ implementation of the CVPR 2022 paper, Geometric Structure Preserving Warp for Natural Image Stitching.
OdinZhang / SurfGenSurfGen: Learning on Topological Surface and Geometric Structure for 3D Molecular Generation
tomilov / QuickhullHeader-only single-class implementation of Quickhull algorithm for convex hulls finding in arbitrary dimension (>1) space.
SarkisovGitHub / PoreBlazerPoreBlazer (v4.0) source code, examples, and geometric properties of porous materials calculated for the subset of 12,000 structures from the CSD MOF.
J-F-Liu / Geom3dData structures and algorithms for 3D geometric modeling.
aardvark-platform / Aardvark.algodatAardvark.Algodat contains advanced geometric and photometric data structures and algorithms. It is part of the open-source Aardvark Platform for visual computing, real-time graphics, and visualization.
RayHackett / EnzymmEnzyMM - Enzyme Motif Miner - Geometric matching of catalytic motifs in protein structures.
