publications

(*) denotes equal contribution

2024

  1. NeurIPS
    Constant Acceleration Flow
    Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, and Hyunwoo J Kim
    Neural Information Processing Systems, NeurIPS
  2. ECCVOral
    Diffusion prior-based amortized variational inference for noisy inverse problems
    Sojin Lee*, Dogyun Park*, Inho Kong, and Hyunwoo J Kim
    European Conference on Computer Vision, ECCV
    Oral Presentation [Top 2.3%]
  3. ICML
    Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis
    Juyeon Ko, Inho Kong, Dogyun Park, and Hyunwoo J Kim
    International Conference on Machine Learning, ICML
  4. ICLR
    DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations
    Dogyun Park, Sihyeon Kim, Sojin Lee, and Hyunwoo J Kim
    International Conference on Learning Representations, ICLR

2023

  1. ICCV
    Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models
    Dogyun Park, and Suhyun Kim
    International Conference on Computer Vision, ICCV

2022

  1. AAAI
    Naturalinversion: Data-free image synthesis improving real-world consistency
    Yujin Kim, Dogyun Park, Dohee Kim, and Suhyun Kim
    Proceedings of the AAAI Conference on Artificial Intelligence, AAAI