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20242026
most citedStylized Face Sketch Extraction via Generative Prior with Limited Data

8 citations · 9 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CV2026

PDB: Point-Based Deformation Blending for Facial Animation Retargeting

Sihun Cha, Hyeonseung Shin, Suah Yu +1

Mesh-agnostic facial animation retargeting transfers expressions across meshes with different structures, but preserving facial motion without surface artifacts remains challenging…

cs.GR2026

AnyTalk: Speech Animation for Arbitrary Characters Leveraging a Video Generation Model

Kwan Yun, Serin Yoon, Sunjin Jung +3

We present AnyTalk, a novel method for generating 3D speech animations for arbitrary characters without requiring any animation data. While existing audio-driven 3D speech animatio…

cs.GR2025

StyleMM: Stylized 3D Morphable Face Model via Text-Driven Aligned Image Translation

Seungmi Lee, Kwan Yun, Junyong Noh

We introduce StyleMM, a novel framework that can construct a stylized 3D Morphable Model (3DMM) based on user-defined text descriptions specifying a target style. Building upon a p…

cs.GR2025

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

cs.CV2024★ 8 cited

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…

cs.CV2024

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…