Emotion Manipulation for Talking-head Videos via Facial Landmarks

Kwanggyoon Seo, Rene Jotham Culaway, Byeong-Uk Lee, Junyong Noh

Vision & Animation ACM ToG

Emotion Manipulation for Talking-head Videos via Facial Landmarks

GOATex: Geometry and Occlusion-Aware Texturing

Hyunjin Kim, Kunho Kim, Adam Lee, Wonkwang Lee

Vision & Animation NeurIPS 2025

GOATex: Geometry and Occlusion-Aware Texturing

How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects

Wonkwang Lee, Jongwon Jeong, Taehong Moon, HyeonJong Kim, Jaehyeon Kim, Gunhee Kim, Byeong-Uk Lee

Vision & Animation ICML 2025

How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens

Jaehyeon Kim, Taehong Moon, Keon Lee, Jaewoong Cho

Vision & Animation ICML 2025

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens

DeClotH: Decomposable 3D Cloth and Human Body Reconstruction from a Single Image

Hyeongjin Nam, Donghwan Kim, Jeongtaek Oh, Kyoung Mu Lee
Vision & Animation CVPR 2025

DeClotH: Decomposable 3D Cloth and Human Body Reconstruction from a Single Image

Perceptually Accurate 3D Talking Head Generation: New Definitions, Speech-Mesh Representation, and Evaluation Metrics

Chae-Yeon Lee, Oh Hyun-Bin, Han EunGi, Kim Sung-Bin, Suekyeong Nam, Tae-Hyun Oh

Vision & Animation CVPR 2025

Perceptually Accurate 3D Talking Head Generation: New Definitions, Speech-Mesh Representation, and Evaluation Metrics

Test-time Alignment of Diffusion Models without Reward Over-optimization

Sunwoo Kim, Minkyu Kim, Dongmin Park

Vision & Animation ICLR 2025 Spotlight

Test-time Alignment of Diffusion Models without Reward Over-optimization

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance

Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho
Vision & Animation ICLR 2025 Spotlight

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance

WINE: Wavelet-Guided GAN Inversion and Editing for High-Fidelity Refinement

Chaewon Kim, Seung-jun Moon, Gyeong-Moon Park

Vision & Animation WACV 2025

WINE: Wavelet-Guided GAN Inversion and Editing for High-Fidelity Refinement

Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model

Joo Young Choi, Jaesung R. Park, Inkyu Park, Jaewoong Cho, Albert No, Ernest K. Ryu

Vision & Animation TMLR 2024

Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model