Topic: 3d-deep-learning Goto Github
Some thing interesting about 3d-deep-learning
Some thing interesting about 3d-deep-learning
3d-deep-learning,
User: aibluefisher
3d-deep-learning,a Pytorch library for multi-view 3D understanding and generation
User: ajhamdi
3d-deep-learning,Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)
User: ajhamdi
3d-deep-learning,3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
User: andyzeng
Home Page: http://3dmatch.cs.princeton.edu/
3d-deep-learning,Fuse multiple depth frames into a TSDF voxel volume.
User: andyzeng
Home Page: http://andyzeng.github.io/
3d-deep-learning,Python code to fuse multiple RGB-D images into a TSDF voxel volume.
User: andyzeng
Home Page: http://andyzeng.github.io/
3d-deep-learning,[ECCV'20] Convolutional Occupancy Networks
Organization: autonomousvision
Home Page: https://pengsongyou.github.io/conv_onet
3d-deep-learning, This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
Organization: autonomousvision
Home Page: http://www.cvlibs.net/publications/Niemeyer2020CVPR.pdf
3d-deep-learning,[ICCVW-2021] SA-Det3D: Self-attention based Context-Aware 3D Object Detection
User: autovision-cloud
3d-deep-learning,A versatile framework for 3D machine learning built on Pytorch Lightning and Hydra [looking for contributors!]
User: ccinc
3d-deep-learning,Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch
User: cmpute
Home Page: https://d3d.readthedocs.io/en/latest/
3d-deep-learning,DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
User: colin97
3d-deep-learning,Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)
User: colin97
3d-deep-learning,list of papers, code, datasets and other resources
User: cuge1995
3d-deep-learning,our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification', Neurocomputing, 2022
User: cuge1995
Home Page: https://arxiv.org/abs/2101.01461.pdf
3d-deep-learning,pyntcloud is a Python library for working with 3D point clouds.
User: daavoo
Home Page: http://pyntcloud.readthedocs.io
3d-deep-learning,Paper list of deep learning on point clouds.
User: dashidhy
3d-deep-learning,Code and Datasets for 3D Shape Completion related publications
Organization: dlr-rm
3d-deep-learning,Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications
User: eduardohenriquearnold
3d-deep-learning,[AAAI-2024] Pytorch implementation of "ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field"
User: eezkni
3d-deep-learning,3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
User: fregu856
Home Page: http://www.fregu856.com/
3d-deep-learning,Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences - CVPRW: StruCo3D, 2023
User: gregorkobsik
3d-deep-learning,CSGNet for voxel based input
User: hippogriff
3d-deep-learning,Code base of ParSeNet: ECCV 2020.
User: hippogriff
3d-deep-learning,AIRI_pottery
User: hjsg1010
3d-deep-learning,TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
User: hjwdzh
Home Page: http://stanford.edu/~jingweih/papers/texturenet/
3d-deep-learning,[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
Organization: hkust-vgd
3d-deep-learning,Research platform for 3D object detection in PyTorch.
User: jhultman
3d-deep-learning,A collection of 3D vision and language (e.g., 3D Visual Grounding, 3D Question Answering and 3D Dense Caption) papers and datasets.
User: jianghaojun
3d-deep-learning,This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.
User: jonasschult
Home Page: https://visualcomputinginstitute.github.io/dcm-net/
3d-deep-learning,PointRCNN configured to Argoverse/Custom dataset
User: kartik17
3d-deep-learning,Pytorch code to construct a 3D point cloud model from single RGB image.
User: lkhphuc
Home Page: https://medium.com/@lkhphuc/create-3d-model-from-a-single-2d-image-in-pytorch-917aca00bb07
3d-deep-learning,Pytorch Implementation of Learning Local Shape Descriptors from Part Correspondences(ToG 2017, H Huang et al.): https://people.cs.umass.edu/~hbhuang/local_mvcnn/
User: minz95
3d-deep-learning,[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Organization: mit-han-lab
Home Page: http://spvnas.mit.edu/
3d-deep-learning,A PyTorch Library for Accelerating 3D Deep Learning Research
Organization: nvidiagameworks
3d-deep-learning,NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Organization: nvidiagameworks
3d-deep-learning,🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
User: qingyonghu
3d-deep-learning,[CVPR'23] Learning Neural Parametric Head Models
User: simongiebenhain
Home Page: https://simongiebenhain.github.io/NPHM/
3d-deep-learning,This repository contains 3D-Unet Based segmentation models with different settings. I'll be comparing different models with different settings.
User: thehunk1206
3d-deep-learning,This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
User: thibaultgroueix
Home Page: http://imagine.enpc.fr/~groueixt/atlasnet/
3d-deep-learning,This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".
User: thibaultgroueix
Home Page: http://imagine.enpc.fr/~groueixt/sgp/index.html
3d-deep-learning,[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads
User: tobias-kirschstein
Home Page: https://tobias-kirschstein.github.io/nersemble/
3d-deep-learning,ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes (CoRL 2022)
Organization: tri-ml
Home Page: https://zakharos.github.io/projects/road/
3d-deep-learning,A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Organization: vita-epfl
Home Page: https://vita.epfl.ch/monoloco
3d-deep-learning, 3D Shape Generation Baselines in PyTorch.
User: walsvid
3d-deep-learning,code release for paper "Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks"(ICCV 2021)
User: yukichiii
3d-deep-learning,KITTI data processing and 3D CNN for Vehicle Detection
User: yukitsuji
3d-deep-learning,GRNet: Geometric Relation Network for 3D Object Detection from Point Clouds
User: yvanali
3d-deep-learning,TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation
User: yvanali
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.