8 citations · 9 across the 4 of their papers we have counts for
4 papers
Semi-supervised reference-based sketch extraction using a contrastive learning framework
Chang Wook Seo, Amirsaman Ashtari, Junyong Noh
Sketches reflect the drawing style of individual artists; therefore, it is important to consider their unique styles when extracting sketches from color images for various applicat…
StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN
Jongwoo Choi, Kwanggyoon Seo, Amirsaman Ashtari +1
We propose a method that can generate cinemagraphs automatically from a still landscape image using a pre-trained StyleGAN. Inspired by the success of recent unconditional video ge…
Stylized Face Sketch Extraction via Generative Prior with Limited Data
Kwan Yun, Kwanggyoon Seo, Chang Wook Seo +5
Facial sketches are both a concise way of showing the identity of a person and a means to express artistic intention. While a few techniques have recently emerged that allow sketch…
Generating Texture for 3D Human Avatar from a Single Image using Sampling and Refinement Networks
Sihun Cha, Kwanggyoon Seo, Amirsaman Ashtari +1
There has been significant progress in generating an animatable 3D human avatar from a single image. However, recovering texture for the 3D human avatar from a single image has bee…