Smoothing the Generative Latent Space with Mixup-based Distance Learning. - Chaerin Kong; Jeesoo Kim; Donghoon Han; Nojun Kwak (CoRR, 2021)

Towards Efficient Neural Scene Graphs by Learning Consistency Fields. - Yeji Song; Chaerin Kong; Seoyoung Lee; Nojun Kwak; Joonseok Lee (BMVC, 2022)

Few-Shot Image Generation with Mixup-Based Distance Learning. - Chaerin Kong; Jeesoo Kim; Donghoon Han; Nojun Kwak (ECCV (15), 2022)

Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis. - Chaerin Kong; Nojun Kwak (CoRR, 2022)

Unifying Vision-Language Representation Space with Single-Tower Transformer. - Jiho Jang; Chaerin Kong; Donghyeon Jeon; Seonhoon Kim; Nojun Kwak (AAAI, 2023)

Self-Distilled Self-supervised Representation Learning. - Jiho Jang; Seonhoon Kim; KiYoon Yoo; Chaerin Kong; Jangho Kim; Nojun Kwak (WACV, 2023)

Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation. - Chaerin Kong; Dong Hyeon Jeon; Ohjoon Kwon; Nojun Kwak (WACV, 2023)

Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance. - Chaerin Kong; Nojun Kwak (CoRR, 2023)

AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion. - Seungwoo Lee; Chaerin Kong; Donghyeon Jeon; Nojun Kwak (CoRR, 2023)

ConcatPlexer: Additional Dim1 Batching for Faster ViTs. - Donghoon Han; Seunghyeon Seo; Donghyeon Jeon; Jiho Jang; Chaerin Kong; Nojun Kwak (CoRR, 2023)

Fashion Style Editing with Generative Human Prior. - Chaerin Kong; Seungyong Lee 005; Soohyeok Im; Wonsuk Yang (CoRR, 2024)

Understanding Differential Transformer Unchains Pretrained Self-Attentions. - Chaerin Kong; Jiho Jang; Nojun Kwak (CoRR, 2025)