Yeongmin Kim

6

Papers

41

Total Citations

Papers (6)

Training Unbiased Diffusion Models From Biased Dataset

Diffusion Bridge AutoEncoders for Unsupervised Representation Learning

Autoregressive Distillation of Diffusion Transformers

Preference Optimization by Estimating the Ratio of the Data Distribution

FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute

Diffusion Rejection Sampling