4 papers
DAQ: Delta-Aware Quantization for Post-Training LLM Weight Compression
Xiaoming Yu, Shize Tang, Guanghua Yu +4
We introduce Delta-Aware Quantization (DAQ), a data-free post-training quantization framework that preserves the knowledge acquired during post-training. Standard quantization obje…
Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather Removal
Rongxin Liao, Feng Li, Yanyan Wei +4
Universal adverse weather removal (UAWR) seeks to address various weather degradations within a unified framework. Recent methods are inspired by prompt learning using pre-trained…
SignAligner: Harmonizing Complementary Pose Modalities for Coherent Sign Language Generation
Xu Wang, Shengeng Tang, Lechao Cheng +3
Sign language generation aims to produce diverse sign representations based on spoken language. However, achieving realistic and naturalistic generation remains a significant chall…
Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production
Shengeng Tang, Jiayi He, Dan Guo +3
Sign Language Production (SLP) aims to generate semantically consistent sign videos from textual statements, where the conversion from textual glosses to sign poses (G2P) is a cruc…