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

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

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-C…

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"

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

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

Plenoxels: Radiance Fields without Neural Networks, Code release WIP

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

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

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

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

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

Python package for the evaluation of odometry and SLAM

Python - 100天从新手到大师

Unsupervised single image depth prediction with CNNs

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".

Collection of generative models in Tensorflow

all the meta data needed for nyuv2