Unpaired Image Translation via Adaptive Convolution-based Normalization. - Wonwoong Cho; Kangyeol Kim; Eungyeup Kim; Hyunwoo J. Kim; Jaegul Choo (CoRR, 2019)

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. - Sunghyun Park 005; Kangyeol Kim; Junsoo Lee; Jaegul Choo; Joonseok Lee; Sookyung Kim; Edward Choi (AAAI, 2021)

Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. - Kangyeol Kim; Sunghyun Park 005; Junsoo Lee; Joonseok Lee; Sookyung Kim; Jaegul Choo; Edward Choi (BMVC, 2021)

AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models. - Kangyeol Kim; Sunghyun Park 005; Jaeseong Lee; Sunghyo Chung; Junsoo Lee; Jaegul Choo (CoRR, 2021)

Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment. - Taewoo Kim; Chaeyeon Chung; Yoonseo Kim; Sunghyun Park 005; Kangyeol Kim; Jaegul Choo (ECCV (17), 2022)

AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment. - Kangyeol Kim; Sunghyun Park 005; Jaeseong Lee; Sunghyo Chung; Junsoo Lee; Jaegul Choo (ECCV (8), 2022)

Reference-based Image Composition with Sketch via Structure-aware Diffusion Model. - Kangyeol Kim; Sunghyun Park 005; Junsoo Lee; Jaegul Choo (CoRR, 2023)

iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds. - Dongmin Choi; Wonwoo Cho; Kangyeol Kim; Jaegul Choo (AAAI, 2024)

Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning. - Wonwoo Cho; Kangyeol Kim; Saemee Choi; Jaegul Choo (ACM Multimedia, 2024)

Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation. - Kangyeol Kim; Wooseok Seo; Sehyun Nam; Bodam Kim; Suhyeon Jeong; Wonwoo Cho; Jaegul Choo; Youngjae Yu (CoRR, 2024)