13 citations · 23 across the 8 of their papers we have counts for
9 papers
Neural Face Skinning for Mesh-agnostic Facial Expression Cloning
Sihun Cha, Serin Yoon, Kwanggyoon Seo +1
Accurately retargeting facial expressions to a face mesh while enabling manipulation is a key challenge in facial animation retargeting. Recent deep-learning methods address this b…
NeRFFaceSpeech: One-shot Audio-driven 3D Talking Head Synthesis via Generative Prior
Gihoon Kim, Kwanggyoon Seo, Sihun Cha +1
Audio-driven talking head generation is advancing from 2D to 3D content. Notably, Neural Radiance Field (NeRF) is in the spotlight as a means to synthesize high-quality 3D talking…
LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example
Soyeon Yoon, Kwan Yun, Kwanggyoon Seo +3
Recent advances in 3D face stylization have made significant strides in few to zero-shot settings. However, the degree of stylization achieved by existing methods is often not suff…
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…
Representative Feature Extraction During Diffusion Process for Sketch Extraction with One Example
Kwan Yun, Youngseo Kim, Kwanggyoon Seo +2
We introduce DiffSketch, a method for generating a variety of stylized sketches from images. Our approach focuses on selecting representative features from the rich semantics of de…
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…
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Grigory Malivenko, David Plowman +35
Depth estimation is an important computer vision problem with many practical applications to mobile devices. While many solutions have been proposed for this task, they are usually…
Neural Crossbreed: Neural Based Image Metamorphosis
Sanghun Park, Kwanggyoon Seo, Junyong Noh
We propose Neural Crossbreed, a feed-forward neural network that can learn a semantic change of input images in a latent space to create the morphing effect. Because the network le…