8 citations · 11 across the 5 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2024
Scaling Laws For Diffusion Transformers
Zhengyang Liang, Hao He, Ceyuan Yang +1
Diffusion transformers (DiT) have already achieved appealing synthesis and scaling properties in content recreation, e.g., image and video generation. However, scaling laws of DiT…
cs.CV2019★ 8 cited
S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
Zhihang Yuan, Bingzhe Wu, Zheng Liang +3
Recently, dynamic inference has emerged as a promising way to reduce the computational cost of deep convolutional neural network (CNN). In contrast to static methods (e.g. weight p…