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20202026
most citedInteractive Control over Temporal Consistency while Stylizing Video Streams

1 citations · 1 across the 5 of their papers we have counts for

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cs.CV2023

Controlling Geometric Abstraction and Texture for Artistic Images

Martin Büßemeyer, Max Reimann, Benito Buchheim +3

We present a novel method for the interactive control of geometric abstraction and texture in artistic images. Previous example-based stylization methods often entangle shape, text…

cs.CV2022

WISE: Whitebox Image Stylization by Example-based Learning

Winfried Lötzsch, Max Reimann, Martin Büssemeyer +3

Image-based artistic rendering can synthesize a variety of expressive styles using algorithmic image filtering. In contrast to deep learning-based methods, these heuristics-based f…

cs.CV2022

Low-light Image and Video Enhancement via Selective Manipulation of Chromaticity

Sumit Shekhar, Max Reimann, Amir Semmo +3

Image acquisition in low-light conditions suffers from poor quality and significant degradation in visual aesthetics. This affects the visual perception of the acquired image and t…

cs.CV2021

Interactive Multi-level Stroke Control for Neural Style Transfer

Max Reimann, Benito Buchheim, Amir Semmo +2

We present StyleTune, a mobile app for interactive multi-level control of neural style transfers that facilitates creative adjustments of style elements and enables high output fid…

cs.CV2020

NPRportrait 1.0: A Three-Level Benchmark for Non-Photorealistic Rendering of Portraits

Paul L. Rosin, Yu-Kun Lai, David Mould +10

Despite the recent upsurge of activity in image-based non-photorealistic rendering (NPR), and in particular portrait image stylisation, due to the advent of neural style transfer,…