18 citations · 23 across the 8 of their papers we have counts for
9 papers
Looking Into the Water by Unsupervised Learning of the Surface Shape
Ori Lifschitz, Tali Treibitz, Dan Rosenbaum
We address the problem of looking into the water from the air, where we seek to remove image distortions caused by refractions at the water surface. Our approach is based on modeli…
Osmosis: RGBD Diffusion Prior for Underwater Image Restoration
Opher Bar Nathan, Deborah Levy, Tali Treibitz +1
Underwater image restoration is a challenging task because of water effects that increase dramatically with distance. This is worsened by lack of ground truth data of clean scenes…
Towards Monocular Shape from Refraction
Antonin Sulc, Imari Sato, Bastian Goldluecke +1
Refraction is a common physical phenomenon and has long been researched in computer vision. Objects imaged through a refractive object appear distorted in the image as a function o…
SeaThru-NeRF: Neural Radiance Fields in Scattering Media
Deborah Levy, Amit Peleg, Naama Pearl +4
Research on neural radiance fields (NeRFs) for novel view generation is exploding with new models and extensions. However, a question that remains unanswered is what happens in und…
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking Datasets
Yelena Randall, Tali Treibitz
Visibility underwater is challenging, and degrades as the distance between the subject and camera increases, making vision tasks in the forward-looking direction more difficult. We…
Self-Supervised Monocular Depth Underwater
Shlomi Amitai, Itzik Klein, Tali Treibitz
Depth estimation is critical for any robotic system. In the past years estimation of depth from monocular images have shown great improvement, however, in the underwater environmen…
NAN: Noise-Aware NeRFs for Burst-Denoising
Naama Pearl, Tali Treibitz, Simon Korman
Burst denoising is now more relevant than ever, as computational photography helps overcome sensitivity issues inherent in mobile phones and small cameras. A major challenge in bur…
On the modification of the SPARUS II AUV for close range imaging survey platform
Yevgeni Gutnik, Aviad Avni, Tali Treibitz +1
Based on the need for high resolution underwater visual surveys, this study presents the adaptation of an existing SPARUS II autonomous underwater vehicle (AUV) into an entirely ho…
Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset
Dana Berman, Deborah Levy, Shai Avidan +1
Underwater images suffer from color distortion and low contrast, because light is attenuated while it propagates through water. Attenuation under water varies with wavelength, unli…