18 citations · 18 across the 3 of their papers we have counts for
4 papers
Progressive Photorealistic Simplification
Adi Rosenthal, Dana Berman, Yedid Hoshen +1
Existing image simplification techniques often rely on Non-Photorealistic Rendering (NPR), transforming photographs into stylized sketches, cartoons, or paintings. While effective…
ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation
Daniel Winter, Asaf Shul, Matan Cohen +4
This paper introduces a tuning-free method for both object insertion and subject-driven generation. The task involves composing an object, given multiple views, into a scene specif…
SVNR: Spatially-variant Noise Removal with Denoising Diffusion
Naama Pearl, Yaron Brodsky, Dana Berman +4
Denoising diffusion models have recently shown impressive results in generative tasks. By learning powerful priors from huge collections of training images, such models are able to…
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…