[CVPRW'22] This is the official implementation code repository of Underwater Light Field Retention : Neural Rendering for Underwater Imaging (Accepted by CVPR Workshop2022 NTIRE)
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Updated
Mar 25, 2024 - Python
[CVPRW'22] This is the official implementation code repository of Underwater Light Field Retention : Neural Rendering for Underwater Imaging (Accepted by CVPR Workshop2022 NTIRE)
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).
Accessory code and meta information to the HODOR dataset
A curated list of underwater image enhancement (UIE) and underwater 3D reconstruction papers: physics-based, CNN, GAN, Transformer, Mamba, diffusion, NeRF, 3DGS.
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
AI system that analyzes underwater imagery to track marine life, monitor coral reef health, and detect illegal fishing activities using deep learning.
An AI-powered computer vision and emergency-response research project focused on underwater artifact/artillery detection, image enhancement, and detection workflow experimentation using Python-based machine learning pipelines.
Seabed image enhancement API + twin-architecture species detector (ConvNeXt+Swin for cloud, MobileNetV3 for edge)
Chart-referenced coral bleaching severity measurement from underwater photographs.
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