1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices
Ya Zou, Jingfeng Yao, Siyuan Yu +3
There is a growing demand for deploying large generative AI models on mobile devices. For recent popular video generative models, however, the Variational AutoEncoder (VAE) represe…
cs.CV2024
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
Jingfeng Yao, Wang Cheng, Wenyu Liu +1
Diffusion Transformers (DiT) have attracted significant attention in research. However, they suffer from a slow convergence rate. In this paper, we aim to accelerate DiT training w…
cs.CV2023★ 1 cited
ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers
Jingfeng Yao, Xinggang Wang, Shusheng Yang +1
Recently, plain vision Transformers (ViTs) have shown impressive performance on various computer vision tasks, thanks to their strong modeling capacity and large-scale pretraining.…