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deepnude-an-image-to-image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

depthvisualizer

OpenGL Based Python Library for 3D visualization of Point Clouds & Depth Maps

diffnet

[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''

droid-slam

evo

Python package for the evaluation of odometry and SLAM

gasmono

Code for GasMono, accepted by ICCV 2023

lite-hrnet

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

megadepth

Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

monodepth

Unsupervised single image depth prediction with CNNs

monovit

Self-supervised monocular depth estimation with a vision transformer

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

nice-slam

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

nlspn_eccv20

Park et al., Non-Local Spatial Propagation Network for Depth Completion, ECCV, 2020

nyuv2-meta-data

all the meta data needed for nyuv2

orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

python-100-days

Python - 100天从新手到大师

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

robotcar_depthgt_generate

The code to generate ground truth depth map by using projections

svox2

Plenoxels: Radiance Fields without Neural Networks, Code release WIP

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

unsupervised-confidence-measures

This strategy provides labels for training confidence measures based on machine-learning technique without ground-truth labels (BMVC 2017)

zxcqlf.github.io

Chaoqiang Zhao's Research Website