SimpleViewOfficial Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Stars: ✭ 95 (+1.06%)
snarfOfficial code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes.
Stars: ✭ 184 (+95.74%)
DeepI2PDeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
Stars: ✭ 130 (+38.3%)
MinkLocMultimodalMinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
Stars: ✭ 65 (-30.85%)
simpleICPImplementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
Stars: ✭ 140 (+48.94%)
lowshot-shapebiasLearning low-shot object classification with explicit shape bias learned from point clouds
Stars: ✭ 37 (-60.64%)
MinkLoc3DMinkLoc3D: Point Cloud Based Large-Scale Place Recognition
Stars: ✭ 83 (-11.7%)
frustum-convnetThe PyTorch Implementation of F-ConvNet for 3D Object Detection
Stars: ✭ 228 (+142.55%)
LoFTRCode for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
Stars: ✭ 1,046 (+1012.77%)
point based clothingOfficial PyTorch code for the paper: "Point-Based Modeling of Human Clothing" (ICCV 2021)
Stars: ✭ 57 (-39.36%)
pcc geo cnnLearning Convolutional Transforms for Point Cloud Geometry Compression
Stars: ✭ 44 (-53.19%)
LEMOOfficial Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data
Stars: ✭ 149 (+58.51%)
overlordOfficial pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.
Stars: ✭ 35 (-62.77%)
M3DETRCode base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
Stars: ✭ 47 (-50%)
cycle-confusionCode and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".
Stars: ✭ 67 (-28.72%)
GeobitNonrigidDescriptor ICCV 2019C++ implementation of the nonrigid descriptor Geobit presented at ICCV 2019 "GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images"
Stars: ✭ 11 (-88.3%)
pleProbabilistic line extraction from 2-D range scan
Stars: ✭ 47 (-50%)
RealSenseExtension of RealSense Unity Wrapper [Unofficial]
Stars: ✭ 31 (-67.02%)
gnerf[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )
Stars: ✭ 152 (+61.7%)
pyRANSAC-3DA python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
Stars: ✭ 253 (+169.15%)
OverlapPredator[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
Stars: ✭ 293 (+211.7%)
fastDesp-corrPropFast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration
Stars: ✭ 16 (-82.98%)
Open-Infra-PlatformThis is the official repository of the open-source Open Infra Platform software (as of April 2020).
Stars: ✭ 26 (-72.34%)
PoinTr[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
Stars: ✭ 260 (+176.6%)
renet[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification
Stars: ✭ 72 (-23.4%)
cpnetLearning Video Representations from Correspondence Proposals (CVPR 2019 Oral)
Stars: ✭ 93 (-1.06%)
LPD-netLPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea
Stars: ✭ 75 (-20.21%)
DeepCD[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations
Stars: ✭ 39 (-58.51%)
CV LearningProjects related to computer vision and image processing.
Stars: ✭ 20 (-78.72%)
efficient online learningEfficient Online Transfer Learning for 3D Object Detection in Autonomous Driving
Stars: ✭ 20 (-78.72%)
costmap depth cameraThis is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.
Stars: ✭ 26 (-72.34%)
pcc geo cnn v2Improved Deep Point Cloud Geometry Compression
Stars: ✭ 55 (-41.49%)
AIODriveOfficial Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"
Stars: ✭ 32 (-65.96%)
Vision-Language-TransformerVision-Language Transformer and Query Generation for Referring Segmentation (ICCV 2021)
Stars: ✭ 127 (+35.11%)
PCLocPose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces (ICCV 2021)
Stars: ✭ 37 (-60.64%)
object nerfCode for "Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering", ICCV 2021
Stars: ✭ 135 (+43.62%)
DeepCADcode for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"
Stars: ✭ 74 (-21.28%)
softpoolSoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral
Stars: ✭ 62 (-34.04%)
QmapCompressionOfficial implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021
Stars: ✭ 27 (-71.28%)
TailCalibXPytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi
Stars: ✭ 32 (-65.96%)
Rel3DOfficial code for NeurRIPS 2020 paper "Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D"
Stars: ✭ 24 (-74.47%)
HCFlowOfficial PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
Stars: ✭ 140 (+48.94%)
point-cloud-predictionSelf-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
Stars: ✭ 97 (+3.19%)
isosurfaceRust algorithms for isosurface extraction
Stars: ✭ 51 (-45.74%)
FLAT[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory
Stars: ✭ 52 (-44.68%)
CMRNetCode for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP
Stars: ✭ 70 (-25.53%)
Python-for-Remote-Sensingpython codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Stars: ✭ 20 (-78.72%)
ilvr admILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (ICCV 2021 Oral)
Stars: ✭ 133 (+41.49%)
retrieval-fuse[ICCV21] Code for "RetrievalFuse: Neural 3D Scene Reconstruction with a Database"
Stars: ✭ 69 (-26.6%)