Quick Overview: Depth Any Camera (DAC) is a training framework for metric Single-image human mesh recovery is a challenging task due to the ill-posed nature of simultaneous body shape, pose, and ... We are proud to present our winning solution to the SoccerNet Monocular

Cvpr 2025 Efficient Depth Estimation - Detailed Overview & Context

Depth Any Camera (DAC) is a training framework for metric Single-image human mesh recovery is a challenging task due to the ill-posed nature of simultaneous body shape, pose, and ... We are proud to present our winning solution to the SoccerNet Monocular [CVPR 2026] SCE-Depth: A Spherical Compound Eye Framework for Wide FOV Depth Estimation Wei Xu, Charles James Wagner, Junjie Luo, Qi Guo Purdue University Project page: CVPR 2025: Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation

CVPR 2025 - Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting [CVPR 2025] ProtoDepth: Unsupervised Continual Depth Completion with Prototypes

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[CVPR 2025] Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses
[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
(CVPR 2025) BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation
[CVPR 2025] 🥇 Winners - Monocular Depth Estimation Challenge | SoccerNet
[CVPR 2026] Depth Hypothesis Guided Iterative Refinement for Event-Image Monocular Depth Estimation
[CVPR 2025] Relative Pose Estimation through Affine Corrections of Monocular Depth Priors
[CVPR 2026] SCE-Depth: A Spherical Compound Eye Framework for Wide FOV Depth Estimation
[CVPR 2025] Blurry-Edges: Photon-Limited Depth Estimation from Defocused Boundaries
(CVPR 2026) Iris: Integrating Language into Diffusion-based Monocular Depth Estimation
CVPR 2025: Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation
CVPR 2025 - Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting
[CVPR 2025] DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
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