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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Geometric Collapse: When Vision Models Fail to Verify Physical Causality
Jul 8, 2026Wentao Zhang, Jinhu Qi, Weiqiang Jin +3Physical Reasoning Depth Estimation
Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China · The Chinese University of Hong Kong, Hong Kong SAR, China · AgentecFusion Limited +2
The Multipath Blind Spot: $K$ -Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations
Jul 5, 2026Sohag Roy, Rajesh Misra, Swami Shastravidyananda +1Post-Hoc Calibration Metric Depth Estimation
Department of Computer Science, Ramakrishna Mission Vivekananda Educational and Research Institute (RKMVERI), Belur, Howrah, West Bengal 711202, India
FoundDP: Revisiting Weak Disparity Observability in Dual-Pixel Depth Estimation
Jul 2, 2026Fengchen He, Hao Xu, Dayang Zhao +2Metric Depth Estimation Depth Estimation
Huazhong University of Science and Technology, Wuhan, China
ICDepth: Taming Video Diffusion Models for Video Depth Estimation via In-Context Conditioning
Jul 2, 2026Xuanhua He, Jiaxin Xie, Mingzhe Zheng +1Video Diffusion Models Depth Estimation
The Hong Kong University of Science and Technology, Hong Kong SAR, China
Towards Robust Driving Perception: A Flexible Scale-Driven Family for Self-Supervised Monocular Depth Estimation
Jul 1, 2026Zhaowen Zhu, Li Zhang, Yujie Chen +3Depth Estimation Monocular Depth Estimation
Hefei University of Technology, Hefei, China · Chengpin Home Tech, Nanjing, China · Differential Robotics, Hangzhou, China +1
Typography-Based Monocular Distance Estimation for Advanced Driver-Assistance Systems
Jul 1, 2026Manognya Lokesh Reddy, Zheng LiuCollision Avoidance Monocular Depth Estimation
University of Michigan-Dearborn Dearborn, MI 48128
MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense Prediction
Jun 29, 2026Shuo Zhou, Zhaoxin Li, Xiujuan ChaiMonocular Depth Estimation Surface Normal Estimation
Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China. · Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Beijing, China.
AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World
Jun 29, 2026Zhongqiang Song, Guanying Chen, Yuqi Zhang +6Metric Depth Estimation Monocular Depth Estimation
Sun Yat-sen University, Shenzhen Campus · 1Sun Yat-sen University, Shenzhen Campus · FNii–Shenzhen +5
One Scene, Two Depths: Probing Geometric Ambiguity in Monocular Foundation Models
Jun 28, 2026Xiaohao Xu, Feng Xue, Xiang Li +53D Foundation Models Depth Estimation
University of Michigan, Ann Arbor, MI, USA · Carnegie Mellon University, Pittsburgh, PA, USA · New York University, New York, NY, USA +1
Can Single-View Mesh Reconstruction Generalize to Robot Camera Rotation?
Jun 22, 2026Yu Zhan, Guangcheng Chen, Hanjing Ye +4Monocular Depth Estimation 3D Mesh Reconstruction
Shenzhen Key Laboratory of Robotics and Computer Vision, Southern University of Science and Technology (SUSTech) · Pengcheng Laboratory
WildBox: A Dataset and Benchmark for Aerial Monocular 3D Detection of African Savanna Wildlife
Jun 19, 2026Vandita Shukla, Kilian Meier, Lucie Laporte-Devylder +6Monocular Depth Estimation 3D Object Detection
13D Optical Metrology Unit, Fondazione Bruno Kessler, Trento, Italy · 2Computer Vision and Machine Learning Systems group, Institute for Geoinformatics, University of Muenster, Muenster, Germany · School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, UK +6
Geometry-Consistent Endoscopic Representations for Image-Guided Navigation via Structured Foundation Model Adaptation
Jun 15, 2026Hongchao Shu, Roger D. Soberanis-Mukul, Hao Ding +5Endoscopy Monocular Depth Estimation
Department of Computer Science, Johns Hopkins University, Baltimore, MD 21211 USA · Semaphor Surgical · Johnson & Johnson MedTech, Santa Clara, CA 95054 USA
3D Consistency Optimization for Self-Supervised Monocular Video Depth Estimation
Jun 14, 2026Yuanye Liu, Ke Zhang, Junzhe Jiang +3Depth Estimation Monocular Depth Estimation
Fudan University, Shanghai, China · Johns Hopkins University, Baltimore, USA
Modality Forcing for Scalable Spatial Generation
Jun 11, 2026Bardienus Pieter Duisterhof, Deva Ramanan, Jeffrey Ichnowski +2Diffusion Transformer Monocular Depth Estimation
Carnegie Mellon University · World Labs
DepthMaster: Unified Monocular Depth Estimation for Perspective and Panoramic Images
Jun 10, 2026Pengfei Wang, Shihao Wang, Liyi Chen +3Metric Depth Estimation Depth Estimation
Visual Computing Lab The Hong Kong Polytechnic University
Leveraging Metric Depth for Relative Depth Prediction
Jun 9, 2026Xiaoyang Bi, Shuaikun Liu, Zhaohong Liu +5Depth Estimation Monocular Depth Estimation
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia · Beijing University of Posts and Telecommunications
Honey, I Shrunk the Arc de Triomphe!
Jun 1, 2026Yuanbo Xiangli, Hanyu Chen, Xueqing Tsang +13D Foundation Models Metric Depth Estimation
Cornell University · Shanghai Jiao Tong University
ActMVS: Active Scene Reconstruction with Monocular Multi-View Stereo
May 31, 2026Guo Pu, Yixuan Han, Zhouhui LianMulti-View Depth Estimation 3D Reconstruction
Wangxuan Institute of Computer Technology, Peking University
VLM3: Vision Language Models Are Native 3D Learners
May 28, 2026Zhipeng Cai, Zhuang Liu, Yunyang Xiong +3Camera Pose Estimation Monocular Depth Estimation
Meta · Princeton University
Large Depth Completion Model from Sparse Observations
May 28, 2026Zhu Yu, Zhengyi Zhao, Runmin Zhang +7Metric Depth Estimation Depth Estimation
Zhejiang University · Internship at Tongyi Lab · Tongyi Lab, Alibaba Group +4
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation
May 27, 2026Changxuan Li, Nadine Berner, Nassir Navab +2Self-Supervised Learning Camera Pose Estimation
Technical University of Munich. · Munich Center for Machine Learning (MCML). · BMW Group. +2
Sparse-LiDAR Prompting of Monocular Geometry Foundations: An Empirical Study Toward Long-Range Driving Depth
May 26, 2026Kai Zheng, Qiang Feng, Xingjian Liu +2Vision Foundation Models Depth Estimation
1Benewake (Beijing) Co., Ltd.
Stabilizing Streaming Video Geometry via Dynamic Feature Normalization
May 25, 2026Xiaoyang Lyu, Muxin Liu, Xiaoshan Wu +5Streaming 3D Reconstruction Depth Estimation
1The University of Hong Kong · 2USTC · 3Voyager Research, Didi Chuxing
WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation
May 22, 2026Ilia Indyk, Ignat Penshin, Ivan Sosin +3Metric Depth Estimation Depth Estimation
Robotics Center, Moscow, Russia · AXXX, Moscow, Russia · Trusted AI Research Center, RAS, Moscow, Russia
DepthAgent: Towards Better Universal Depth Estimation via Sample-wise Expert Selection
May 22, 2026Jie Zhu, Girish Chandar Ganesan, Xiaoming LiuMetric Depth Estimation Monocular Depth Estimation
Michigan State University · University of North Carolina at Chapel Hill
UfM*: Uncertainty from Motion* for DNN Depth Estimation Using Gaussians
May 21, 2026Soumya Sudhakar, Sertac Karaman, Vivienne SzeUncertainty Quantification Depth Estimation
Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth
May 19, 2026Viktor Kocur, Sithu Aung, Gabrielle Flood +4Depth Estimation Monocular Depth Estimation
Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava · Visual Recognition Group, Faculty of Electrical Engineering, Czech Technical University in Prague · Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague
Monocular Depth Perception Enhancement Based on Joint Shading/Contrast Model and Motion Parallax (JSM)
May 17, 2026Seungchul Ryu, Hyunjin Yoo, Tara AkhavanDepth Estimation Monocular Depth Estimation
Faurecia Irystec Inc., Montreal, QC, Canada
Unlocking Dense Metric Depth Estimation in VLMs
May 15, 2026Hanxun Yu, Xuan Qu, Yuxin Wang +2Vision-Language Models Metric Depth Estimation
Zhejiang University · Tencent Hunyuan LLM · HKUST +1
CoGE: Sim-to-Real Online Geometric Estimation for Monocular Colonoscopy
May 13, 2026Liangjing Shao, Beilei Cui, Hongliang RenSynthetic-to-Real Domain Adaptation Endoscopy
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China · Shenzhen Loop Area Institute, China

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Geometric Collapse: When Vision Models Fail to Verify Physical Causality

Wentao Zhang, Jinhu Qi, Weiqiang Jin, Yifei Zhang+2

Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China · The Chinese University of Hong Kong, Hong Kong SAR, China · AgentecFusion Limited+2

Physical Reasoning Depth Estimation Monocular Depth Estimation

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Recent progress in large-scale self-supervised learning has improved dense geometric prediction, but it remains unclear whether such scaling yields inference-time physical plausibility checks. We propose Scrambled Edges, a controlled counterfactual that injects salient edge-like cues while violating surface continuity, illumination coherence, and occlusion ordering. With energy-matched and structure-matched controls, we isolate the effect of unsupported edge evidence from high-frequency energy and edge sparsity. Across CNN/ViT/SSL depth predictors on NYU Depth v2 and KITTI, Scrambled Edges induce up to 3.2x larger deviation from clean predictions than energy-matched noise; additional diffusion and flow-matching depth estimators show attenuated but still significant collapse. The resulting Geometric Collapse propagates globally: even with oracle knowledge of the corrupted region, output-level repair recovers only 47%, with substantial error outside the mask. These findings provide controlled behavioral evidence that current dense predictors lack reliable mechanisms to quarantine physically unsupported edge cues, motivating explicit plausibility scoring and selective cue integration.

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