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Monocular Depth Estimation

Monocular Depth Estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image. This challenging task is a key prerequisite for determining scene understanding for applications such as 3D scene reconstruction, autonomous driving, and AR. State-of-the-art methods usually fall into one of two categories: designing a complex network that is powerful enough to directly regress the depth map, or splitting the input into bins or windows to reduce computational complexity. The most popular benchmarks are the KITTI and NYUv2 datasets. Models are typically evaluated using RMSE or absolute relative error.

Source: Defocus Deblurring Using Dual-Pixel Data

Papers

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Showing 351–400 of 876 papers

TitleStatusHype
Lightweight Monocular Depth Estimation—0
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles—0
Diffusion-based Light Field Synthesis—0
Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy—0
Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation—0
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency—0
Depth-Relative Self Attention for Monocular Depth Estimation—0
Calibrating Self-supervised Monocular Depth Estimation—0
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation—0
Lightweight Monocular Depth Estimation via Token-Sharing Transformer—0
ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way—0
BulletGen: Improving 4D Reconstruction with Bullet-Time Generation—0
Depth Priors in Removal Neural Radiance Fields—0
ViewpointDepth: A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts—0
LighthouseGS: Indoor Structure-aware 3D Gaussian Splatting for Panorama-Style Mobile Captures—0
BS3D: Building-scale 3D Reconstruction from RGB-D Images—0
DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax—0
Bridging Geometric and Semantic Foundation Models for Generalized Monocular Depth Estimation—0
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation—0
An Endoscopic Chisel: Intraoperative Imaging Carves 3D Anatomical Models—0
Light Robust Monocular Depth Estimation For Outdoor Environment Via Monochrome And Color Camera Fusion—0
Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation—0
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation—0
BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation—0
Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence—0
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting—0
Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World—0
Analysis of NaN Divergence in Training Monocular Depth Estimation Model—0
Depth Insight -- Contribution of Different Features to Indoor Single-image Depth Estimation—0
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method—0
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions—0
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes—0
Boosting Weakly Supervised Object Detection using Fusion and Priors from Hallucinated Depth—0
EndoDepthL: Lightweight Endoscopic Monocular Depth Estimation with CNN-Transformer—0
Lightweight Monocular Depth Estimation with an Edge Guided Network—0
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation—0
An Advert Creation System for 3D Product Placements—0
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces—0
Depth Is All You Need for Monocular 3D Detection—0
Recovering Detail in 3D Shapes Using Disparity Maps—0
Increased-Range Unsupervised Monocular Depth Estimation—0
Improving the Reliability for Confidence Estimation—0
Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depth—0
Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos—0
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion—0
Improving Online Performance Prediction for Semantic Segmentation—0
Improving Monocular Visual Odometry Using Learned Depth—0
DepthFake: a depth-based strategy for detecting Deepfake videos—0
Learn to Adapt for Monocular Depth Estimation—0
Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding—0
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