Search Results for author: Man M. Ho

Found 4 papers, 3 papers with code

Interactive Image Manipulation with Complex Text Instructions

no code implementations25 Nov 2022 Ryugo Morita, Zhiqiang Zhang, Man M. Ho, Jinjia Zhou

To solve these problems, we propose a novel image manipulation method that interactively edits an image using complex text instructions.

Descriptive Image Manipulation +1

Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning

1 code implementation11 Feb 2021 Man M. Ho, Jinjia Zhou

Second, we simulate many different variants of the real-world degradation using low-level image transformation to gain a generalization in smartphone-scanned image properties, then train a degradation network to generalize all styles of degradation and provide pseudo-scanned photos for unscanned images as if they were scanned by a smartphone.

Image Enhancement

Deep Preset: Blending and Retouching Photos with Color Style Transfer

1 code implementation21 Jul 2020 Man M. Ho, Jinjia Zhou

It is designed to 1) generalize the features representing the color transformation from content with natural colors to retouched reference, then blend it into the contextual features of content, 2) predict hyper-parameters (settings or preset) of the applied low-level color transformation methods, 3) stylize content to have a similar color style as reference.

Style Transfer

Semantic-driven Colorization

1 code implementation13 Jun 2020 Man M. Ho, Lu Zhang, Alexander Raake, Jinjia Zhou

As a human experience in colorization, our brains first detect and recognize the objects in the photo, then imagine their plausible colors based on many similar objects we have seen in real life, and finally colorize them, as described in the teaser.

Colorization

Cannot find the paper you are looking for? You can Submit a new open access paper.