3 papers
cs.LG2025
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
Byeonghu Na, Minsang Park, Gyuwon Sim +6
Text-to-image diffusion models rely on text embeddings from a pre-trained text encoder, but these embeddings remain fixed across all diffusion timesteps, limiting their adaptabilit…
cs.CV2025
Distilling Dataset into Neural Field
Donghyeok Shin, HeeSun Bae, Gyuwon Sim +2
Utilizing a large-scale dataset is essential for training high-performance deep learning models, but it also comes with substantial computation and storage costs. To overcome these…
cs.LG2024
Diffusion Rejection Sampling
Byeonghu Na, Yeongmin Kim, Minsang Park +3
Recent advances in powerful pre-trained diffusion models encourage the development of methods to improve the sampling performance under well-trained diffusion models. This paper in…