Dogyun Park

16 papers A* 5Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
EFlow: Fast Few-Step Video Generator Training from Scratch via Efficient Solution Flow.
CoRR
Dogyun Park, Yanyu Li, Sergey Tulyakov, Anil Kag
2026 J jnl
One Model, Many Budgets: Elastic Latent Interfaces for Diffusion Transformers.
CoRR
Moayed Haji-Ali, Willi Menapace, Ivan Skorokhodov, Dogyun Park, Anil Kag, Michael Vasilkovsky, Sergey Tulyakov, Vicente Ordonez, Aliaksandr Siarohin
2025 J jnl
Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation.
CoRR
Dogyun Park, Taehoon Lee, Minseok Joo, Hyunwoo J. Kim
2025 J jnl
Sprint: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers.
CoRR
Dogyun Park, Moayed Haji-Ali, Yanyu Li, Willi Menapace, Sergey Tulyakov, Hyunwoo J. Kim, Aliaksandr Siarohin, Anil Kag
2024 A* conf
Constant Acceleration Flow.
NeurIPS
Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim
2024 J jnl
Constant Acceleration Flow.
CoRR
Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim
2024 J jnl
DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations.
CoRR
Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim
2024 A* conf
DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations.
ICLR
Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim
2024 — conf
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems.
ECCV (53)
Sojin Lee, Dogyun Park, Inho Kong, Hyunwoo J. Kim
2024 J jnl
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems.
CoRR
Sojin Lee, Dogyun Park, Inho Kong, Hyunwoo J. Kim
2024 A* conf
Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis.
ICML
Juyeon Ko, Inho Kong, Dogyun Park, Hyunwoo J. Kim
2024 J jnl
Stochastic Conditional Diffusion Models for Semantic Image Synthesis.
CoRR
Juyeon Ko, Inho Kong, Dogyun Park, Hyunwoo J. Kim
2023 J jnl
NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency.
CoRR
Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim
2023 A* conf
Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models.
ICCV
Dogyun Park, Suhyun Kim
2023 J jnl
Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models.
CoRR
Dogyun Park, Suhyun Kim
2022 A* conf
NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency.
AAAI
Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim