NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency. - Yujin Kim; Dogyun Park; Dohee Kim; Suhyun Kim 001 (AAAI, 2022)

Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models. - Dogyun Park; Suhyun Kim 001 (ICCV, 2023)

NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency. - Yujin Kim; Dogyun Park; Dohee Kim; Suhyun Kim (CoRR, 2023)

Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models. - Dogyun Park; Suhyun Kim (CoRR, 2023)

Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems. - Sojin Lee; Dogyun Park; Inho Kong; Hyunwoo J. Kim (ECCV (53), 2024)

DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations. - Dogyun Park; Sihyeon Kim; Sojin Lee; Hyunwoo J. Kim (ICLR, 2024)

Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis. - Juyeon Ko; Inho Kong; Dogyun Park; Hyunwoo J. Kim (ICML, 2024)

Constant Acceleration Flow. - Dogyun Park; Sojin Lee; Sihyeon Kim; Taehoon Lee 004; Youngjoon Hong; Hyunwoo J. Kim (NeurIPS, 2024)

Stochastic Conditional Diffusion Models for Semantic Image Synthesis. - Juyeon Ko; Inho Kong; Dogyun Park; Hyunwoo J. Kim (CoRR, 2024)