Trending repositories for topic monocular-depth-estimation

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

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

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 2022"

Metric depth estimation from a single image

🌊 Images to → 2.5D Parallax Effect Video. A Free and Open Source ImmersityAI alternative

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

🌊 Images to → 2.5D Parallax Effect Video. A Free and Open Source ImmersityAI alternative

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

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

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

Metric depth estimation from a single image

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 2022"

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

🌊 Images to → 2.5D Parallax Effect Video. A Free and Open Source ImmersityAI alternative

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 2022"

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

Metric depth estimation from a single image

ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Muggled DPT: Depth estimation without the magic

Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)

Fast Monocular Depth Estimation of Underwater Scenes (ICRA 2023)

State-of-the-art papers for depth estimation of 360 images.

ROS2 Wrapper for DepthAnything V2 model.

TensorRT implementation of Depth-Anything V1, V2

Muggled DPT: Depth estimation without the magic

🌊 Images to → 2.5D Parallax Effect Video. A Free and Open Source ImmersityAI alternative

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Fast Monocular Depth Estimation of Underwater Scenes (ICRA 2023)

State-of-the-art papers for depth estimation of 360 images.

Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)

ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

ROS2 Wrapper for DepthAnything V2 model.

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

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

TensorRT implementation of Depth-Anything V1, V2

Metric depth estimation from a single image

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 2022"

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

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

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 2022"

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

🌊 Images to → 2.5D Parallax Effect Video. A Free and Open Source ImmersityAI alternative

Metric depth estimation from a single image

[WACV 2025] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)

ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Muggled DPT: Depth estimation without the magic

TensorRT implementation of Depth-Anything V1, V2

A curated list of recent monocular depth estimation papers

GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models

TouchDesigner implementation for Depth Anything and TensorRT monocular depth estimation.

PyTorch Implementation of introducing diffusion approach to 3D depth perception ECCV 2024

[ECCV 2020] Learning stereo from single images using monocular depth estimation networks

Official implementation of Adabins: Depth Estimation using adaptive bins

State-of-the-art papers for depth estimation of 360 images.

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Muggled DPT: Depth estimation without the magic

Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)

PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage

🌊 Images to → 2.5D Parallax Effect Video. A Free and Open Source ImmersityAI alternative

A curated list of recent monocular depth estimation papers

State-of-the-art papers for depth estimation of 360 images.

[MICCAI'2024] EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (ECCV, 2024)

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model 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]

TouchDesigner implementation for Depth Anything and TensorRT monocular depth estimation.

[WACV 2025] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

Fast Monocular Depth Estimation of Underwater Scenes (ICRA 2023)

ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

TensorRT implementation of Depth-Anything V1, V2

http://arxiv.org/abs/2403.17301

MonoNav: MAV Navigation via Monocular Depth Estimation and Reconstruction

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

[WACV 2025] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

TensorRT implementation of Depth-Anything V1, V2

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

TouchDesigner implementation for Depth Anything and TensorRT monocular depth estimation.

Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)

Python scripts performing Metric Monocular Depth Estimation using the Unidepth model in ONNX.

ROS2 Wrapper for DepthAnything V2 model.

[ECCV 2024] Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions

Monocular Depth Estimation Toolbox and Benchmark. [Arxiv'24 ScaleDepth, TIP'24 Binsformer]

Muggled DPT: Depth estimation without the magic

A toolbox for benchmarking SOTA discriminative and generative geometry estimation models.

Monocular Depth Estimation with Unity Sentis

Using PyTorch's MiDaS model and Open3D's point cloud to map a scene in 3D 🏞️🔭

[MICCAI'2024] EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

[ECCV 2024] Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

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

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

Metric depth estimation from a single image

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 2022"

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

🌊 Images to → 2.5D Parallax Effect Video. A Free and Open Source ImmersityAI alternative

[WACV 2025] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

TensorRT implementation of Depth-Anything V1, V2

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

TouchDesigner implementation for Depth Anything and TensorRT monocular depth estimation.

PyTorch Implementation of introducing diffusion approach to 3D depth perception ECCV 2024

Official implementation for HybridDepth Model (WACV 2025, ISMAR 2024)

Official implementation of Adabins: Depth Estimation using adaptive bins

A curated list of recent monocular depth estimation papers

[ECCV 2024] Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions

ROS2 Wrapper for DepthAnything V2 model.

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

TensorRT implementation of Depth-Anything V1, V2

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

🌊 Images to → 2.5D Parallax Effect Video. A Free and Open Source ImmersityAI alternative

A curated list of recent monocular depth estimation papers

Python scripts performing Metric Monocular Depth Estimation using the Unidepth model in ONNX.

Monocular Depth Estimation Toolbox and Benchmark. [Arxiv'24 ScaleDepth, TIP'24 Binsformer]

Rankings include: BetterDepth ChronoDepth Depth Any Video Depth Anything Depth Pro DepthCrafter DPT FutureDepth GBDMF GenPercept GeoWizard LeReS LightedDepth Marigold Metric3D MiDaS MonST3R NeWCRFs NV...

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

A toolbox for benchmarking SOTA discriminative and generative geometry estimation models.

State-of-the-art papers for depth estimation of 360 images.

MonoNav: MAV Navigation via Monocular Depth Estimation and Reconstruction

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

Metric depth estimation from a single image

[ICCV2023] 🧊FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models

Code to test FreDSNet: Frequential Depth estimation and Semantic segmentation Network

Source code for the ICCV 2023 paper: Robust Monocular Depth Estimation under Challenging Conditions