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underwater-imaging

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YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data augmentations, real-time inference via Gradio, and support for model export (ONNX & PyTorch).

  • Updated Jun 17, 2025
  • Python

A curated list of underwater image enhancement (UIE) and underwater 3D reconstruction papers: physics-based, CNN, GAN, Transformer, Mamba, diffusion, NeRF, 3DGS.

  • Updated Jul 29, 2026
  • Python

A framework for physics-based rendering of underwater images using Mitsuba 0.6 This work is part of simulation work done in[1]. [1] Adi Vainiger, Yoav Y. Schechner, Tali Treibitz, Aviad Avni, and David S. Timor, "Optical wide-field tomography of sediment resuspension," Opt. Express 27, A766-A778 (2019) https://opg.optica.org/oe/abstract.cfm?uri=o

  • Updated Dec 5, 2022
  • Python

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