john_bh's repositories
3D-representation-learning
A list of papers on 3D vision & learning
3D-Shape-Analysis-Paper-List
A list of recent papers, libraries and datasets about 3D shape/geometry analysis (by topics, updating).
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
CDPN_ICCV2019_ZhigangLi
The official training code of ICCV2019 paper "CDPN: Coordinates-based Disentangled Pose Network for Real-time RGB-based 6-DoF Object Pose Estimation".
CREStereo
Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation, CVPR 2022.
CSPN
Convolutional Spatial Propagation Network
CVPR2020-Code
CVPR 2020 论文开源项目合集
DenseMatchingBenchmark
Dense Matching Benchmark
depth-anything-tensorrt
tensorrt cpp implementation of depth-anything model
DiffusionDepth
PyTorch Implementation of paper Diffusion Denoising Aproach for Monocular Depth Estimation
ECCV2020-Code
ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目
GAENet
This is the code for the work accepted by ICRA2022.
ICCV2021-Papers-with-Code
ICCV 2021 论文和开源项目合集
iros20-6d-pose-tracking
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Lighting-Estimation
EMLight: Lighting Estimation via Spherical Distribution Approximation [AAAI 2021] and Sparse Needlets for Lighting Estimation with Spherical Transport Loss [ICCV 2021]
msg_chn_wacv20
The code for our WACV paper "A Multi-Scale Guided Cascade Hourglass Network for Depth Completion"
mx-DeepIM
Deep Iterative Matching for 6D Pose Estimation
Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
PlotNeuralNet
Latex code for making neural networks diagrams
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
RePOSE
Official Pytorch implementation of RePOSE (ICCV2021)
RepViT
RepViT: Revisiting Mobile CNN From ViT Perspective
SNPE_Tutorial
A simple tutorial of SNPE.
StereoDataset
An indoor real scene stereo dataset. It contains 2000 pairs of images with high accuracy disparity maps. We hope it can improve the the generalization performance of deep stereo matching networks.
SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
tensorflow-handbook
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程