CrappyCodes

CrappyCodes's Stars

• firestereo/FIReStereo

  Language:Python16

• takisu0916/MRFEDepth

  Language:Python8

• hrflr/wuav

  Details and access links for "WildUAV: Monocular UAV Dataset for Depth Estimation Tasks" paper

  241

• montefiore-institute/midair-dataset

  Example and utiliy scripts for the Mid-Air dataset

  Language:Python206

• Aradhye2002/EcoDepth

  [CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"

  Language:Python18217

• SHI-Labs/Neighborhood-Attention-Transformer

  Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022

  Language:Python1.1k88

• Amshaker/SwiftFormer

  [ICCV'23] Official repository of paper SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications

  Language:Python27430

• linhezheng19/CAT

  Official implement of "CAT: Cross Attention in Vision Transformer".

  Language:Python15719

• TRI-ML/vidar

  Language:Python60470

• svip-lab/PlaneDepth

  [CVPR2023] This is an official implementation for "PlaneDepth: Self-supervised Depth Estimation via Orthogonal Planes".

  Language:Python1065

• ShuweiShao/URCDC-Depth

  [TMM2023] URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation

  Language:Python446

• Ecalpal/IterDepth

  The official code of IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation

  Language:Python81

• lorenzopapa5/METER

  Language:Python6

• fwucas/HQDec

  Language:Python4

• xingyuuchen/tri-depth

  [WACV 2023] Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem

  Language:Python846

• noahzn/Lite-Mono

  [CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

  Language:Python60071

• nianticlabs/monodepth2

  [ICCV 2019] Monocular depth estimation from a single image

  Language:Jupyter Notebook4.3k977

• tiny-smart/dysample

  (ICCV'23) Learning to Upsample by Learning to Sample

  Language:Python1343

• zhyever/Monocular-Depth-Estimation-Toolbox

  Monocular Depth Estimation Toolbox based on MMSegmentation.

  Language:Python931104

• Yhc-777/Awesome-Depth-Estimation

  Awesome List for Depth Estimation

  8

• prs-eth/Marigold

  [CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

  Language:Python2.6k158

• yangqy1110/Diffusion-Models

  扩散模型原理和pytorch代码实现初学资料汇总

  Language:Jupyter Notebook67854

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python24.4k8.1k

• sshaoshuai/PointRCNN

  PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

  Language:Python1.8k424

• isl-org/Open3D-PointNet

  Open3D PointNet implementation with PyTorch

  Language:Python19437

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.9k1.3k

• wechat-haibei/3D-deeplearning-processing

  对图片运用深度学习算法进行三维重建，三维目标检测等处理

  Language:Python344