Papers

• DepthFM: Fast Monocular Depth Estimation with Flow Matching
• Analysis of NaN Divergence in Training Monocular Depth Estimation Model
• Unleashing the Power of Large-Scale Unlabeled Data - Anything) [huggingface](https://huggingface.co/spaces/LiheYoung/Depth-Anything)
• Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation - eth/marigold)
• Text-Image Alignment for Diffusion-Based Perception
• Unleashing Text-to-Image Diffusion Models for Visual Perception - zhao/VPD)
• The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
• Revealing the Dark Secrets of Masked Image Modeling - Depth-Estimation)
• Internal Discretization for Monocular Depth Estimation
• NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation
• 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
• 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)
• RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation - Depth)
• Toward Practical Monocular Indoor Depth Estimation
• Multi-Frame Self-Supervised Depth with Transformers
• Towards Zero-Shot Scale-Aware Monocular Depth Estimation
• Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces
• Learning single camera depth estimation using dual-pixels - research/google-research/blob/master/dual_pixels/README.md)
• 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
• 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/)
• Robust Monocular Depth Estimation under Challenging Conditions
• 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
• Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation - Mono)
• 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)
• 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
• Neural Video Depth Stabilizer
• All in Tokens: Unifying Output Space of Visual Tasks via Soft Token
• 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
• ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth - org/ZoeDepth)
• Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
• 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
• 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)
• 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
• CompletionFormer: Depth Completion with Convolutions and Vision Transformers - zym/CompletionFormer)
• Dynamic Spatial Propagation Network for Depth Completion
• Non-Local Spatial Propagation Network for Depth Completion
• DoubleTake: Geometry Guided Depth Estimation
• Scale-Invariant Monocular Depth Estimation via SSI Depth
• Distortion-Aware Self-Supervised Indoor 360∘ Depth Estimation via Hybrid Projection Fusion and Structural Regularities
• Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation
• Calibration-free deep optics for depth estimation with precise simulation
• Depth Pro: Sharp Monocular Metric Depth in Less Than a Second - depth-pro/)
• - consistent-depth)
• FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions
• EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation
• 360MonoDepth: High-Resolution 360 ∘ Monocular Depth Estimation
• SphereDepth: Panorama Depth Estimation from Spherical Domain
• Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization - learning), IROS 2024
• DoubleTake: Geometry Guided Depth Estimation
• WorDepth: Variational Language Prior for Monocular Depth Estimation - galaxy/WorDepth/)
• PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
• Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation
• SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation - Impl)
• SoccerNet-Depth: a Scalable Dataset for Monocular Depth Estimation in Sports Videos - depth)