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Awesome-Monocular-Depth
A curated list of recent monocular depth estimation papers
https://github.com/choyingw/Awesome-Monocular-Depth
- Metric3D v2 A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation - performing metric depth on zero-shot evaluation), arxiv 2024 | [github](https://jugghm.github.io/Metric3Dv2/)
- UniDepth: Universal Monocular Metric Depth Estimation - shot performance match depth-anything on NYUv2), CVPR 2024 | [github](https://github.com/lpiccinelli-eth/unidepth)
- Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation - eth/marigold)
- ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation
- Harnessing Diffusion Models for Visual Perception with Meta Prompts - zvg/meta-prompts?tab=readme-ov-file)
- DepthFM: Fast Monocular Depth Estimation with Flow Matching
- Unleashing the Power of Large-Scale Unlabeled Data - Anything) [huggingface](https://huggingface.co/spaces/LiheYoung/Depth-Anything)
- EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment
- Harnessing Diffusion Models for Visual Perception with Meta Prompts - zvg/meta-prompts?tab=readme-ov-file)
- IEBins: Iterative Elastic Bins for Monocular Depth Estimation
- Text-Image Alignment for Diffusion-Based Perception
- Robust Monocular Depth Estimation under Challenging Conditions
- Unleashing Text-to-Image Diffusion Models for Visual Perception - zhao/VPD)
- Neural Video Depth Stabilizer
- The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
- All in Tokens: Unifying Output Space of Visual Tasks via Soft Token
- Revealing the Dark Secrets of Masked Image Modeling - Depth-Estimation)
- Internal Discretization for Monocular Depth Estimation
- Neural Video Depth Stabilizer
- VA-DepthNet: A Variational Approach to Single Image Depth Prediction - depthnet)
- Improving Deep Regression with Ordinal Entropy
- DDP: Diffusion Model for Dense Visual Prediction
- PixelFormer: Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention
- LocalBins: Improving Depth Estimation by Learning Local Distributions
- NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation
- SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
- Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models
- Complete contextual information extraction for self-supervised monocular depth estimation
- FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth Estimation
- Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-Supervised Depth Estimation
- DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium
- Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
- 3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces
- GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes
- CORE: Co-planarity Regularized Monocular Geometry Estimation with Weak Supervision
- Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation - Mono)
- Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation
- Self-supervised monocular depth estimation with a vision transformer
- Self-Supervised Surround-View Depth Estimation with Volumetric Feature Fusion
- Devnet: Self-supervised monocular depth learning via density volume construction - z/DevNet)
- Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation
- RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation - Depth)
- Toward Practical Monocular Indoor Depth Estimation
- Multi-Frame Self-Supervised Depth with Transformers
- Unleashing the Power of Large-Scale Unlabeled Data - Anything) [huggingface](https://huggingface.co/spaces/LiheYoung/Depth-Anything)
- Metric3D v2 A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation - performing metric depth on zero-shot evaluation), arxiv 2024 | [github](https://jugghm.github.io/Metric3Dv2/)
- UniDepth: Universal Monocular Metric Depth Estimation - shot performance match depth-anything on NYUv2), CVPR 2024 | [github](https://github.com/lpiccinelli-eth/unidepth)
- ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth - org/ZoeDepth)
- Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
- Towards Zero-Shot Scale-Aware Monocular Depth Estimation
- Toward Practical Monocular Indoor Depth Estimation
- Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces
- 3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces
- Mirror3D: Depth Refinement for Mirror Surfaces
- Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography - computational-imaging/SoaP)
- Fully Self-Supervised Depth Estimation from Defocus Clue
- Calibration-free deep optics for depth estimation with precise simulation
- Du2Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels
- Dual pixel exploration: Simultaneous depth estimation and image restoration - Pixel-Exploration-Simultaneous-Depth-Estimation-and-Image-Restoration)
- Learning single camera depth estimation using dual-pixels - research/google-research/blob/master/dual_pixels/README.md)
- Modeling Defocus-Disparity in Dual-Pixel Sensors - pixel-defocus-disparity)
- SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments
- SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving
- CRF360D: Monocular 360 Depth Estimation via Neural Spherical Fully-Connected CRFs
- Distortion-Aware Self-Supervised Indoor 360∘ Depth Estimation via Hybrid Projection Fusion and Structural Regularities
- PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation - bjtu/PanoFormer)
- Omnifusion: 360 monocular depth estimation via geometry-aware fusion
- LRRU: Long-short Range Recurrent Updating Networks for Depth Completion
- BEV@DC: Bird's-Eye View Assisted Training for Depth Completion
- MFF-Net: Towards Efficient Monocular Depth Completion With Multi-Modal Feature Fusion
- CompletionFormer: Depth Completion with Convolutions and Vision Transformers - zym/CompletionFormer)
- Dynamic Spatial Propagation Network for Depth Completion
- CostDCNet: Cost Volume based Depth Completion for a Single RGB-D Image
- Monitored Distillation for Positive Congruent Depth Completion - backprojection-network)
- RigNet: Repetitive Image Guided Network for Depth Completion
- PENet: Towards Precise and Efficient Image Guided Depth Completion
- Scene Completeness-Aware Lidar Depth Completion for Driving Scenario - DepthCompletion)
- Non-Local Spatial Propagation Network for Depth Completion
- Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints
- DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion
- Deep RGB-D canonical correlation analysis for sparse depth completion
- InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation
- Toward practical monocular indoor depth estimation
Programming Languages
Keywords
depth-estimation
5
deep-learning
4
metric-depth-estimation
3
monocular-depth-estimation
3
zero-shot-transfer
3
computer-vision
2
adaptive-bins
2
monocular-depth
2
neural-networks
2
single-image-depth-prediction
2
3d-reconstruction
2
depth
2
3d-scenes
1
transformers
1
pretrained-models
1
depth-map
1
dataset
1
cvpr2024
1
stable-diffusion
1
iphone
1
neural-fields
1
neural-rendering
1
pytorch
1
rgbd
1