4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Improving Diffusion-Based Generative Models via Approximated Optimal Transport
Daegyu Kim, Jooyoung Choi, Chaehun Shin +2
We introduce the Approximated Optimal Transport (AOT) technique, a novel training scheme for diffusion-based generative models. Our approach aims to approximate and integrate optim…
cs.CV2023★ 4 cited
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection
Daegyu Kim, Chaehun Shin, Jooyoung Choi +2
Generative steganography is the process of hiding secret messages in generated images instead of cover images. Existing studies on generative steganography use GAN or Flow models t…
physics.chem-ph2011
CO2 laser-driven reactions in pure acetylene flow
Peter V. Pikhitsa, Daegyu Kim, Mansoo Choi
We show that multiple-photon absorption of radiation from a 10.56 μm cw CO2 laser by intermediates (ethylene, vinylidene) generated in pure acetylene flow makes them decompose to c…