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20232026
most citedAcoustic Neural 3D Reconstruction Under Pose Drift

4 citations · 4 across the 3 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Adapting Vision Foundation Models to Acoustics for Pose-Free 3D Sonar Reconstruction

Kevin Zhang, Jingxi Chen, Mohamad Qadri +5

Vision foundation models trained on Internet-scale RGB datasets enable remarkable capabilities across a range of tasks, from text-to-video generation to few-shot 3D scene reconstru…

cs.CV2025

Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models

Zijie Cai, Christopher Metzler

Monocular depth estimation has recently progressed beyond ordinal depth to provide metric depth predictions. However, its reliability in underwater environments remains limited due…

cs.CV2024

Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion

Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri +5

Differentiable 3D-Gaussian splatting (GS) is emerging as a prominent technique in computer vision and graphics for reconstructing 3D scenes. GS represents a scene as a set of 3D Ga…

cs.CV2024

AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion

Mohamad Qadri, Kevin Zhang, Akshay Hinduja +3

Underwater perception and 3D surface reconstruction are challenging problems with broad applications in construction, security, marine archaeology, and environmental monitoring. Tr…

cs.CV2023

A Scalable Training Strategy for Blind Multi-Distribution Noise Removal

Kevin Zhang, Sakshum Kulshrestha, Christopher Metzler

Despite recent advances, developing general-purpose universal denoising and artifact-removal networks remains largely an open problem: Given fixed network weights, one inherently t…