Monocular Depth Estimation

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9 papers in the last four weeks, up 29% on the four weeks before. 0.1% of all new papers.

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Focusable Monocular Depth Estimation
May 12, 2026Yuxin Du, Tao Lin, Zile Zhong +7Depth Estimation Monocular Depth Estimation
School of Artificial Intelligence, Shanghai Jiao Tong University · 2The Hong Kong University of Science and Technology (Guangzhou) · 3King Abdullah University of Science and Technology
The Midas Touch for Metric Depth
May 12, 2026Yu Ma, Zizhan Guo, Zuyi Xiong +5Metric Depth Estimation Depth Estimation
College of Electronic and Information Engineering, Tongji University · 2Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University · 3National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi’an Jiaotong University
Neuromorphic Monocular Depth Estimation with Uncertainty Modeling
May 11, 2026Viktor Bergkvist, Felix Rydell, Per-Erik Forssén +2Event-Based Vision Depth Estimation
Swedish Defence Research Agency Linköping, Sweden · Swedish Defence Research Agency Kista, Sweden · Linköping University Linköping, Sweden
GemDepth: Geometry-Embedded Features for 3D-Consistent Video Depth
May 11, 2026Yuecheng Liu, Junda Cheng, Longliang Liu +4Depth Estimation Monocular Depth Estimation
1Huazhong University of Science & Technology · 2Carizon · 3Optics Valley Laboratory
Efficient Hybrid CNN-GNN Architecture for Monocular Depth Estimation
May 11, 2026Ishan NarayanGraph Neural Networks Depth Estimation
IMCS Lab, CSIR-CSIO · Chandigarh 160030, India
Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks
May 8, 2026Marwane Hariat, Antoine Manzanera, David FilliatSelf-Supervised Learning Depth Estimation
U2IS, ENSTA, Institut Polytechnique de Paris, Palaiseau, France
Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions
May 8, 2026Marwane Hariat, Antoine Manzanera, David FilliatOptical Flow Self-Supervised Learning
1U2IS, ENSTA Paris, Institut Polytechnique de Paris, Palaiseau, France · 2INRIA FLOWERS
Learning Image-Adaptive Scale Fields for Metric Depth Recovery
May 8, 2026Yuanyan Li, Matthias AlthoffMetric Depth Estimation Depth Estimation
Technical University of Munich
Sat3R: Satellite DSM Reconstruction via RPC-Aware Depth Fine-tuning
May 8, 2026Qiaoyi Yang, Chaoyi Zhou, Xi Liu +9Metric Depth Estimation 3D Reconstruction
1Clemson University · University of Washington · University of Tennessee
Open-Source Image Editing Models Are Zero-Shot Vision Learners
May 6, 2026Wei Liu, Jiaxin Lin, Rui ChenZero-Shot Learning Vision Foundation Models
Tencent Inc.
AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs
May 4, 2026Simon Dorer, Martin Büchner, Nick Heppert +1Metric Depth Estimation Depth Estimation
Department of Computer Science, University of Freiburg, Germany. · 2Zuse School ELIZA
Last-Layer-Centric Feature Recombination: Unleashing 3D Geometric Knowledge in DINOv3 for Monocular Depth Estimation
Apr 29, 2026Gongshu Wang, Zhirui Wang, Kan YangMonocular Depth Estimation Multi-Scale Feature Fusion
Aerospace Information Research Institute Chinese Academy of Sciences Beijing, China
Monocular Depth Estimation via Neural Network with Learnable Algebraic Group and Ring Structures
Apr 27, 2026Qianlei Wang, Kexun Chen, Shaolin Zhang +3Monocular Depth Estimation Equivariant Neural Networks
Chengdu Institute of Computer Applications, Chinese Academy of Sciences, Chengdu 610213 China. · School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 611756 China. · School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 611756 China. +1
Sphere-Depth: A Benchmark for Depth Estimation Methods with Varying Spherical Camera Orientations
Apr 25, 2026Soulayma Gazzeh, Giuseppe Mazzola, Liliana Lo Presti +1Depth Estimation Monocular Depth Estimation
Department of Engineering, University of Palermo, Palermo, Italy
SS3D: End2End Self-Supervised 3D from Web Videos
Apr 24, 2026Marwane Hariat, Gianni Franchi, David Filliat +1Self-Supervised Pre-Training Depth Estimation
U2IS, ENSTA – Institut Polytechnique de Paris, Palaiseau, France · Pôle Recherche, Agence Ministérielle pour l’IA de Défense, Palaiseau, France
Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation
Apr 24, 2026Lomash Relia, Jai G Singla, Amitabh +1Metric Depth Estimation Robot Navigation
Department of Computer Engineering Devang Patel Institute of Advanced Technology and Research Anand, India · Space Applications Centre Indian Space Research Organization Ahmedabad, India
SyMTRS: Benchmark Multi-Task Synthetic Dataset for Depth, Domain Adaptation and Super-Resolution in Aerial Imagery
Apr 23, 2026Safouane El Ghazouali, Nicola Venturi, Michael Rueegsegger +1Domain Adaptation Monocular Depth Estimation
TOELT LLC AI lab / HSLU Winterthur, Swintzerland · Competence Center for Artificial Intelligence and Simulation, armasuisse S+T, 3602 Thun, Switzerland
LunarDepthNet: Generation of Digital Elevation Models using Deep Learning and Monocular Satellite Images
Apr 22, 2026Aaranay Aadi, Jai Gopal Singla, Amitabh +3U-Net Monocular Depth Estimation
School of Computer Science and Engineering Manipal University Jaipur Jaipur, India · Space Applications Centre (SAC) Indian Space Research Organisation (ISRO) Ahmedabad, India · Department of IoT and Intelligent Systems Manipal University Jaipur Jaipur, India +1
Evaluation of Winning Solutions of 2025 Low Power Computer Vision Challenge
Apr 21, 2026Zihao Ye, Yung-Hsiang Lu, Xiao Hu +14Edge Inference Monocular Depth Estimation
Purdue University, West Lafayette, IN, USA · Qualcomm, USA · Lehigh University, Bethlehem, PA, USA +3
Integrating Object Detection, LiDAR-Enhanced Depth Estimation, and Segmentation Models for Railway Environments
Apr 16, 2026Enrico Francesco Giannico, Federico Nesti, Gianluca D'Amico +5Monocular Depth Estimation Camera-LiDAR Fusion
Department of Excellence in Robotics & AI, Scuola Superiore Sant’Anna, Pisa, Italy · Progress Rail Signaling S.p.A., Serravalle Pistoiese (PT), Italy
Physics-Grounded Monocular Vehicle Distance Estimation Using Standardized License Plate Typography
Apr 14, 2026Manognya Lokesh Reddy, Zheng LiuCollision Avoidance Metric Depth Estimation
Department of Computer and Information Science University of Michigan-Dearborn Dearborn, Michigan, USA · Department of Industrial and Manufacturing Systems Engineering University of Michigan-Dearborn Dearborn, Michigan, USA
AsyncMDE: Real-Time Monocular Depth Estimation via Asynchronous Spatial Memory
Mar 11, 2026Lianjie Ma, Yuquan Li, Bingzheng Jiang +3Edge Inference Monocular Depth Estimation
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China. · Yichang Testing Technology Research Institute, Yichang, China. · School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
EventVGGT: Exploring Cross-Modal Distillation for Consistent Event-based Depth Estimation
Mar 10, 2026Yinrui Ren, Jinjing Zhu, Kanghao Chen +8Event-Based Vision Depth Estimation
Hong Kong University of Science and Technology (Guangzhou) · South China Normal University · Chinese University of Hong Kong
RePer-360: Releasing Perspective Priors for 360 $^\circ$ Depth Estimation via Self-Modulation
Mar 6, 2026Cheng Guan, Chunyu Lin, Zhijie Shen +2Domain Adaptation Depth Estimation
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China. · Visual Intelligence +X International Cooperation Joint Laboratory of MOE, Beijing 100044, China.
MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources
Jan 29, 2026Baorui Ma, Jiahui Yang, Donglin Di +5Vision Foundation Models Metric Depth Estimation
Li Auto Inc
SPACE-CLIP: Spatial Perception via Adaptive CLIP Embeddings for Monocular Depth Estimation
Jan 25, 2026Taewan Cho, Taeryang Kim, Andrew Jaeyong ChoiMonocular Depth Estimation
School of Computing, Gachon University, Republic of Korea
Depth Anything in $360^\circ$ : Towards Scale Invariance in the Wild
Dec 28, 2025Hualie Jiang, Ziyang Song, Zhiqiang Lou +2Depth Estimation Monocular Depth Estimation
Insta360 Research
MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization
Sep 18, 2025Miriam Louise Carnot, Jonas Kunze, Erik Quinten Fastermann +3Metric Depth Estimation Monocular Depth Estimation
ScaDS.AI (University of Leipzig) · University of Leipzig · K¨ne Logistics University +1
EndoUFM: Utilizing Foundation Models for Monocular depth estimation of endoscopic images
Aug 25, 2025Xinning Yao, Bo Liu, Bojian Li +3Medical Imaging Monocular Depth Estimation
Image Processing Center, Beihang University, Beijing, 100191, China. · State Key Laboratory of High-Efficiency Reusable Aerospace Transportation Technology, Beijing 102206, China.
Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens
Aug 6, 2025Rit Gangopadhyay, Jung-Hee Kim, Xien Chen +3Domain Adaptation Depth Estimation
Yale University1 · Michigan State University2

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Focusable Monocular Depth Estimation

Yuxin Du, Tao Lin, Zile Zhong, Runting Li+6

School of Artificial Intelligence, Shanghai Jiao Tong University · 2The Hong Kong University of Science and Technology (Guangzhou) · 3King Abdullah University of Science and Technology

Depth Estimation Monocular Depth Estimation

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Monocular depth foundation models generalize well across scenes, yet they are typically optimized with uniform pixel-wise objectives that do not distinguish user-specified or task-relevant target regions from the surrounding context. We therefore introduce Focusable Monocular Depth Estimation (FDE), a region-aware depth estimation task in which, given a specified target region, the model is required to prioritize foreground depth accuracy, preserve sharp boundary transitions, and maintain coherent global scene geometry. To prioritize task-critical region modeling, we propose FocusDepth, a prompt-conditioned monocular relative depth estimation framework that guides depth modeling to focus on target regions via box/text prompts. The core Multi-Scale Spatial-Aligned Fusion (MSSA) in FocusDepth spatially aligns multi-scale features from Segment Anything Model 3 to the Depth Anything family and injects them through scale-specific, gated conditional fusion. This enables dense prompt cue injection without disrupting geometric representations, thereby endowing the depth estimation model with focused perception capability. To study FDE, we establish FDE-Bench, a target-centric monocular relative depth benchmark built from image-target-depth triplets across five datasets, containing 252.9K/72.5K train/val triplets and 972 categories spanning real-world and embodied simulation environments. On FDE-Bench, FocusDepth consistently improves over globally fine-tuned DA2/DA3 baselines under both box and text prompts, with the largest gains appearing in target boundary and foreground regions while preserving global scene geometry. Ablations show that MSSA's spatial alignment is the key design factor, as disrupting prompt-geometry correspondence increases AbsRel by up to 13.8%.

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