no code implementations • 9 May 2024 • Gihoon Kim, Kwanggyoon Seo, Sihun Cha, Junyong Noh
Using prior knowledge of generative models combined with NeRF, our method can craft a 3D-consistent facial feature space corresponding to a single image.
1 code implementation • 22 Mar 2024 • Soyeon Yoon, Kwan Yun, Kwanggyoon Seo, Sihun Cha, Jung Eun Yoo, Junyong Noh
To this end, we propose a method that can produce a highly stylized 3D face model with desired topology.
1 code implementation • 21 Mar 2024 • Jongwoo Choi, Kwanggyoon Seo, Amirsaman Ashtari, Junyong Noh
We propose a method that can generate cinemagraphs automatically from a still landscape image using a pre-trained StyleGAN.
1 code implementation • 17 Mar 2024 • Kwan Yun, Kwanggyoon Seo, Chang Wook Seo, Soyeon Yoon, Seongcheol Kim, Soohyun Ji, Amirsaman Ashtari, Junyong Noh
Facial sketches are both a concise way of showing the identity of a person and a means to express artistic intention.
Ranked #1 on Face Sketch Synthesis on SKSF-A
no code implementations • 9 Jan 2024 • Kwan Yun, Youngseo Kim, Kwanggyoon Seo, Chang Wook Seo, Junyong Noh
We introduce DiffSketch, a method for generating a variety of stylized sketches from images.
no code implementations • 1 May 2023 • Sihun Cha, Kwanggyoon Seo, Amirsaman Ashtari, Junyong Noh
In this paper, we propose a texture synthesis method for a 3D human avatar that incorporates geometry information.
no code implementations • 17 May 2021 • Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide
While many solutions have been proposed for this task, they are usually very computationally expensive and thus are not applicable for on-device inference.
1 code implementation • 2 Sep 2020 • 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.