3 papers
cs.CV2024
Dynamic Diffusion Transformer
Wangbo Zhao, Yizeng Han, Jiasheng Tang +5
Diffusion Transformer (DiT), an emerging diffusion model for image generation, has demonstrated superior performance but suffers from substantial computational costs. Our investiga…
cs.LG2024
Neural Network Diffusion
Kai Wang, Dongwen Tang, Boya Zeng +7
Diffusion models have achieved remarkable success in image and video generation. In this work, we demonstrate that diffusion models can also \textit{generate high-performing neural…
cs.CV2023
Efficient Dataset Distillation via Minimax Diffusion
Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev +4
Dataset distillation reduces the storage and computational consumption of training a network by generating a small surrogate dataset that encapsulates rich information of the origi…