49 citations · 65 across the 15 of their papers we have counts for
7 papers · 1 filter
SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting
Shuaiting Li, Juncan Deng, Chenxuan Wang +5
Vector Quantization (VQ) has emerged as a prominent weight compression technique, showcasing substantially lower quantization errors than uniform quantization across diverse models…
MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization
Shuaiting Li, Chengxuan Wang, Juncan Deng +5
Vector quantization(VQ) is a hardware-friendly DNN compression method that can reduce the storage cost and weight-loading datawidth of hardware accelerators. However, conventional…
Efficiency Meets Fidelity: A Novel Quantization Framework for Stable Diffusion
Shuaiting Li, Juncan Deng, Zeyu Wang +5
Text-to-image generation via Stable Diffusion models (SDM) have demonstrated remarkable capabilities. However, their computational intensity, particularly in the iterative denoisin…
Thermal Infrared Image Inpainting via Edge-Aware Guidance
Zeyu Wang, Haibin Shen, Changyou Men +2
Image inpainting has achieved fundamental advances with deep learning. However, almost all existing inpainting methods aim to process natural images, while few target Thermal Infra…
C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer
Dongxu Wei, Xiaowei Xu, Haibin Shen +1
Human video motion transfer (HVMT) aims to synthesize videos that one person imitates other persons' actions. Although existing GAN-based HVMT methods have achieved great success,…
A Foreground-background Parallel Compression with Residual Encoding for Surveillance Video
Lirong Wu, Kejie Huang, Haibin Shen +1
The data storage has been one of the bottlenecks in surveillance systems. The conventional video compression algorithms such as H.264 and H.265 do not fully utilize the low informa…
GAC-GAN: A General Method for Appearance-Controllable Human Video Motion Transfer
Dongxu Wei, Xiaowei Xu, Haibin Shen +1
Human video motion transfer has a wide range of applications in multimedia, computer vision and graphics. Recently, due to the rapid development of Generative Adversarial Networks…