Trending repositories for topic depth-estimation
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
A curated list of awesome Deep Stereo Matching resources
[ICCV 2023] Official implementation of "SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields"
[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
A curated list of awesome Deep Stereo Matching resources
TensorRT implementation of Depth-Anything V1, V2
[ICCV 2023] Official implementation of "SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields"
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
⚡️The spatial perception framework for rapidly building smart robots and spaces
A curated list of awesome Deep Stereo Matching resources
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！
Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)
The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
Estimates a depth mapping from a given normal mapping.
[TPAMI 2023, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"
PyTorch Implementation of introducing diffusion approach to 3D depth perception ECCV 2024
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
AD-Census立体匹配算法，中国学者Xing Mei等人研究成果（Respect！），算法效率高、效果出色，适合硬件加速，Intel RealSense D400 Stereo模块算法。完整实现，代码规范，注释清晰，欢迎star！
PatchMatchStereo，倾斜窗口经典，效果极佳，OpenMVS&Colmap稠密匹配算法。完整实现，代码规范，注释清晰，博客教学，欢迎star！
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (ECCV, 2024)
Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)
Estimates a depth mapping from a given normal mapping.
The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
A curated list of awesome Deep Stereo Matching resources
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
[ICCV2023 Oral & TPAMI2024] NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion
TouchDesigner implementation for Depth Anything and TensorRT monocular depth estimation.
⚡️The spatial perception framework for rapidly building smart robots and spaces
[TPAMI 2023, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"
PyTorch Implementation of introducing diffusion approach to 3D depth perception ECCV 2024
This repository contains information for the paper "A Survey on RGB-D Datasets" and is a collaborative initiative to update the datasets list faster.
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
AD-Census立体匹配算法，中国学者Xing Mei等人研究成果（Respect！），算法效率高、效果出色，适合硬件加速，Intel RealSense D400 Stereo模块算法。完整实现，代码规范，注释清晰，欢迎star！
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
⚡️The spatial perception framework for rapidly building smart robots and spaces
SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！
A curated list of awesome Deep Stereo Matching resources
Robust realtime face and facial landmark tracking on CPU with Unity integration
Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)
List of projects for 3d reconstruction
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/
TouchDesigner implementation for Depth Anything and TensorRT monocular depth estimation.
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
TouchDesigner implementation for Depth Anything and TensorRT monocular depth estimation.
Welcome to TheAnimeScripter – the ultimate tool for Video Upscaling, Interpolating and many more. Available as a CLI, GUI and Adobe Extension.
A curated list of awesome Deep Stereo Matching resources
MonoNav: MAV Navigation via Monocular Depth Estimation and Reconstruction
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Monocular Depth Estimation Toolbox and Benchmark. [Arxiv'24 ScaleDepth, TIP'24 Binsformer]
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
A Gradio web UI for Depth-Pro, Sharp Monocular Metric Depth Estimation
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
Estimates a depth mapping from a given normal mapping.
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
A curated list of awesome Deep Stereo Matching resources
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
TouchDesigner implementation for Depth Anything and TensorRT monocular depth estimation.
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)
Monocular Depth Estimation Toolbox and Benchmark. [Arxiv'24 ScaleDepth, TIP'24 Binsformer]
A Gradio web UI for Depth-Pro, Sharp Monocular Metric Depth Estimation
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Robust realtime face and facial landmark tracking on CPU with Unity integration
A curated list of awesome Deep Stereo Matching resources
⚡️The spatial perception framework for rapidly building smart robots and spaces
List of projects for 3d reconstruction
[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
TouchDesigner implementation for Depth Anything and TensorRT monocular depth estimation.
Monocular Depth Estimation Toolbox based on MMSegmentation.
TensorRT implementation of Depth-Anything V1, V2
A curated list of awesome Deep Stereo Matching resources
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Monocular Depth Estimation Toolbox and Benchmark. [Arxiv'24 ScaleDepth, TIP'24 Binsformer]
[ICCV2023 Oral & TPAMI2024] NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
MonoNav: MAV Navigation via Monocular Depth Estimation and Reconstruction
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
Estimates a depth mapping from a given normal mapping.
A Gradio web UI for Depth-Pro, Sharp Monocular Metric Depth Estimation
[Arxiv2023] MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model
[ICCV'23] Self-supervised Monocular Depth Estimation: Let’s Talk About The Weather
Depth Estimation using Stereo images using deep learning based architecture for disparity measurement.The architectures used for disparity estimation are BgNet,CreStereo, Raft-Stereo, HitNet,GwcNet et...
[CVPR 2024] Official repository of From-Ground-To-Objects
Full Scale Monocular Depth Prediction. Official Implementation of "FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving" https://arxiv.org/abs/2304.10719
This repository contains information for the paper "A Survey on RGB-D Datasets" and is a collaborative initiative to update the datasets list faster.