3 citations · 5 across the 5 of their papers we have counts for
5 papers
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
Shangyu Chen, Zizheng Pan, Jianfei Cai +1
Personalizing a large-scale pretrained Text-to-Image (T2I) diffusion model is challenging as it typically struggles to make an appropriate trade-off between its training data distr…
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
Zizheng Pan, Bohan Zhuang, De-An Huang +5
Sampling from diffusion probabilistic models (DPMs) is often expensive for high-quality image generation and typically requires many steps with a large model. In this paper, we int…
Stitchable Neural Networks
Zizheng Pan, Jianfei Cai, Bohan Zhuang
The public model zoo containing enormous powerful pretrained model families (e.g., ResNet/DeiT) has reached an unprecedented scope than ever, which significantly contributes to the…
A Survey on Efficient Training of Transformers
Bohan Zhuang, Jing Liu, Zizheng Pan +3
Recent advances in Transformers have come with a huge requirement on computing resources, highlighting the importance of developing efficient training techniques to make Transforme…
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection
Yuetian Weng, Zizheng Pan, Mingfei Han +2
The task of action detection aims at deducing both the action category and localization of the start and end moment for each action instance in a long, untrimmed video. While visio…