ArthasMil

AACVP-MVSNet

The code for AACVP-MVSNet

Awesome-Domain-LLM

收集和梳理垂直领域的开源模型、数据集及评测基准。

CasMVSNet_pl

Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning

manhattan_sdf

Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

RSIPAC2022

RSIPAC 2022 @Track3

SatelliteSfM

A library for solving the satellite structure from motion problem

SemiSL-BE

Repo for the paper 'Semi-supervised Learning for Building Extraction from Remote Sensing Images'

Vis-MVSNet

VisualTransformers

A Pytorch Implementation of the following paper "Visual Transformers: Token-based Image Representation and Processing for Computer Vision"

ArthasMil/AACVP-MVSNet

The code for AACVP-MVSNet

ArthasMil/RSIPAC2022

RSIPAC 2022 @Track3

ArthasMil/SemiSL-BE

Repo for the paper 'Semi-supervised Learning for Building Extraction from Remote Sensing Images'

ArthasMil/manhattan_sdf

Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral

ArthasMil/SatelliteSfM

A library for solving the satellite structure from motion problem

ArthasMil/Awesome-Domain-LLM

收集和梳理垂直领域的开源模型、数据集及评测基准。

ArthasMil/deep-video-mvs

Code for "DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion" (CVPR 2021)

ArthasMil/Deformable-ConvNets

Deformable Convolutional Networks

ArthasMil/ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

ArthasMil/image_seg

A Strong Baseline for Image Semantic Segmentation

ArthasMil/manydepth

[CVPR 2021] Self-supervised depth estimation from short sequences

ArthasMil/mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

ArthasMil/mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

ArthasMil/MVStudio

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

ArthasMil/NeRF4LinearCCDSat

ArthasMil/nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

ArthasMil/neuralangelo

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

ArthasMil/NeuralRecon-W

Code for "Neural 3D Reconstruction in the Wild", SIGGRAPH 2022 (Conference Proceedings)

ArthasMil/rpcm

Rational Polynomial Camera Model

ArthasMil/s2p

Satellite Stereo Pipeline

ArthasMil/SAMJS

ArthasMil/segmentation_shengteng2021

2021“昇腾杯”遥感影像智能处理算法大赛——语义分割赛道，冠军方案

ArthasMil/self-attention-cv

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

ArthasMil/Self-supervised-CVP-MVSNet

Self-supervised Learning of Depth Inference for Multi-view Stereo (CVPR 2021)

ArthasMil/Self-Supervised-MVS

Pytorch codes for "Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation"

ArthasMil/SeMask-Segmentation

[Preprint] SeMask: Semantically Masked Transformers for Semantic Segmentation.

ArthasMil/ShadowNeuS

ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision (CVPR 2023)

ArthasMil/svox2

Plenoxels: Radiance Fields without Neural Networks

ArthasMil/Transformer-SSL

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

ArthasMil/ViT-Adapter

Vision Transformer Adapter for Dense Predictions