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77 search results found

👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

Awesome Gan For Medical Imaging ⭐ 1,919

Awesome GAN for Medical Imaging

Fastmri ⭐ 1,197

A large-scale dataset of both raw MRI measurements and clinical MRI images.

Awesome Diffusion Models In Medical Imaging ⭐ 923

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

Neural Style Pt ⭐ 722

PyTorch implementation of neural style transfer algorithm

Pytorch Vqvae ⭐ 679

Vector Quantized VAEs - PyTorch Implementation

3d Reconstruction With Deep Learning Methods ⭐ 653

List of projects for 3d reconstruction

All About The Gan ⭐ 602

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Gan2shape ⭐ 552

Code for GAN2Shape (ICLR2021 oral)

Dynslam ⭐ 472

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

3dmatch Toolbox ⭐ 467

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

HDR image reconstruction from a single exposure using deep CNNs

Monoport ⭐ 444

Volumetric Human Teleportation (SIGGRAPH 2020 Real-Time Live) Monocular Real-Time Volumetric Performance Capture(ECCV 2020)

Pix2vox ⭐ 428

The official implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (Xie et al., ICCV 2019)

Awesome Holistic 3d ⭐ 422

A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision

Capsnet Pytorch ⭐ 409

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

Point2mesh ⭐ 408

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

Pytorch I Revnet ⭐ 338

i-RevNet Pytorch Code

Deep3dportrait ⭐ 331

Deep 3D Portrait from a Single Image

Samplenet ⭐ 324

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Depth Vo Feat ⭐ 283

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

BART: Toolbox for Computational Magnetic Resonance Imaging

Planarreconstruction ⭐ 266

[CVPR'19] Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding

Diffusionerf ⭐ 248

[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

Morefusion ⭐ 201

MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion, CVPR 2020

Awesome Deep Hdr ⭐ 195

A collection of deep learning based methods for HDR image synthesis

Neo 360 ⭐ 187

Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

Animal_papers ⭐ 173

Awesome papers for markerless animal motion capture and 3D reconstruction.

Implicit Geometric Regularization for Learning Shapes

Deep Mri Reconstruction ⭐ 159

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Deep_image_prior ⭐ 146

Image reconstruction done with untrained neural networks.

Code release for "Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency" (CVPR 2017)

Danesfield ⭐ 136

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

Torchkbnufft ⭐ 133

A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.

Synthesize3dviadepthorsil ⭐ 121

[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes

Panoptic Reconstruction ⭐ 113

Official implementation of the NeurIPS 2021 paper "Panoptic 3D Scene Reconstruction from a Single RGB Image"

Minimal_glo ⭐ 84

Minimal PyTorch implementation of Generative Latent Optimization from the paper "Optimizing the Latent Space of Generative Networks"

Porousmediagan ⭐ 78

Reconstruction of three-dimensional porous media using generative adversarial neural networks

3d Reconstruction With Neural Networks ⭐ 73

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

Mxnet E2far ⭐ 72

MXNET/Gluon Implementation of End-to-end 3D Face Reconstruction with Deep Neural Networks

Awesome Implicit Neural Representations In Medical Imaging ⭐ 69

[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging

InvSFM: Revealing Scenes by Inverting Structure from Motion Reconstructions [CVPR 2019]

Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction

PyTorch Implementation of Global SIP 2019 Paper "FHDR: HDR Image Reconstruction from a SingleLDR Image using Feedback Network"

Deep Geometric Prior ⭐ 59

The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"

Nerf and extensions in all

Semantic Image Manipulation using Scene Graphs (CVPR 2020)

Sound Field Neural Network ⭐ 46

A deep-learning-based method for sound field reconstruction

Deepinpy ⭐ 43

Deep inverse problems in Python

Cv Papers With Code ⭐ 43

Computer Vision Papers with Code in GitHub

Deep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.

Compsensing_dip ⭐ 33

Compressed sensing with deep image prior algorithm

Deep_learning Point Cloud ⭐ 33

关于深度学习的点云的资料

3d Object Reconstrution ⭐ 32

A curated list of awesome Single-view 3D Object Reconstruction papers & resources

Silhouette Guided 3d ⭐ 30

PyTorch Code of our WACV2020 paper: Silhouette Guided Point Cloud Reconstruction beyond Occlusion

Sparsect ⭐ 29

A tool to develop sparse view CT reconstruction algorithms. It offers an interface to develop methods and quickly compare it with baseline methods.

Nn For Missing Marker Reconstruction ⭐ 25

This is the official implementation of the paper "A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture"

Patrecon ⭐ 25

Patient-specific reconstruction of volumetric computed tomography images from few-view projections via deep learning

Pose_and_shape_evaluation ⭐ 24

Toolbox to evaluate categorical pose and shape estimation methods

Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction

Pytorch implementation of Deep Reconstruction Classification Networks

Compressed_sensing ⭐ 22

Enhancing Compressive Sensing with Neural Networks

Deep Image Compression using Decoder Side Information (ECCV 2020)

Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)

Videomultigan ⭐ 21

End to End learning for Video Generation from Text

Torch Scae ⭐ 19

PyTorch implementation of Stacked Capsule Auto-Encoders

Online Joint Depthfusion And Semantic ⭐ 18

A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation for Indoor Scene.

Freehandusrecon ⭐ 18

Source code for DCL-Net, a deep learning model for sensorless freehand 3D ultrasound volume reconstruction.

[TIP'2021 - MMM'2020] Down-Sampling Based Video Coding with Degradation-aware Restoration-Reconstruction Deep Neural Network

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning

Deep_joint_design_cfa_demosaicing ⭐ 16

Implementation of the article Deep Joint Design of Color Filter Arrays and Demosaicing

Realtime 2d To 3d Faces ⭐ 16

Reconstructing real-time 3D faces from 2D images using deep learning.

Scadec Deep Learning Diffractive Tomography ⭐ 15

Efficient and accurate inversion of multiple scattering with deep learning

Transformers_unsupervised_anomaly_segmentation ⭐ 14

Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images

Kt Dynamic Mri Reconstruction ⭐ 14

[MRM'21] Complementary Time-Frequency Domain Network for Dynamic Parallel MR Image Reconstruction. [MICCAI'19] k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations

Robust Nets ⭐ 14

Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdonald, and M. März (2020).

Csmri Refinement ⭐ 14

Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"

Fsrn Cvpr2020 ⭐ 14

This codebase implements the system described in the paper: Dynamic Fluid Surface Reconstruction Using Deep Neural Network

This repository contains the code for the paper "Deep Mesh Reconstruction from Single RGB Images ".

Points2mesh ⭐ 12

✈️ Deep neural network learning to transform point clouds to their corresponding mesh

3dr2n2 Deep Learning Course Project ⭐ 12

Re-implement 3dr2n2 with tensorflow and improve the performance.

Cd Deep Cascade Mr Reconstruction ⭐ 12

This repository seeks to investigate the usage of Cascades of Convolutional Neural Networks for Magnetic Resonance Image reconstruction.

Deep Slomo ⭐ 11

Official PyTorch implementation of "Deep Slow Motion Video Reconstruction with Hybrid Imaging System" (TPAMI)

Software.seg2020 ⭐ 9

Software for SEG2020 abstracts

Nn Illumination Estimation Fpm ⭐ 9

Accompanying code for the paper "Object Detection Neural Network Improves Fourier Ptychographic Reconstruction"

Swinganmr ⭐ 9

Official implementation of SwinGANMR

Perceptual Cs ⭐ 9

Code for papers "Perceptual Compressive Sensing" at PRCV 2018 and "Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction" at Neurocomputing 2019.

Deep_mri_unet ⭐ 9

Penalized PET reconstruction using deep learning prior and local linear fitting

Deep Autoencoder Using Tensorflow ⭐ 9

Capsule Net Tf ⭐ 8

A tiny implementation of Capsule Network

Sar Colorization ⭐ 7

Reconstruction full-pol data from single-pol SAR data

Dip Ct Benchmark ⭐ 7

Computed Tomography Reconstruction Using DeepImage Prior and Learned Reconstruction Methods

Implementation of Variational Auto-Encoder (VAE) and Deep Feature Consistent VAE for facial attribute manipulation using Keras and Tensorflow-dataset module.

Protein Reconstruction ⭐ 7

Learning to recover orientations from projections in single-particle cryo-EM

Neuralnetwork Jpeg ⭐ 6

Convolutional Neural Network (CNN) Image Compression

End2enddeepimagereconstruction ⭐ 6

Hdr Reconstruction Using Deep Learning ⭐ 6

Reconstruction of images making them HDR using deep learning

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