Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
ReSpinQuant: Efficient Layer-Wise LLM Quantization via Subspace Residual Rotation Approximation
Suyoung Kim, Sunghyun Wee, Hyeonjin Kim +3
Rotation-based Post-Training Quantization (PTQ) has emerged as a promising solution for mitigating activation outliers in the quantization of Large Language Models (LLMs). Global r…
cs.CV2025
Style Composition within Distinct LoRA modules for Traditional Art
Jaehyun Lee, Wonhark Park, Wonsik Shin +3
Diffusion-based text-to-image models have achieved remarkable results in synthesizing diverse images from text prompts and can capture specific artistic styles via style personaliz…