5 papers
EdgeKernelBench: Unified LLM-Driven Kernel Generation for Edge Backends
Yuhua Zheng, Xueyi Chen, Xinze Zou +3
Recent works show that LLMs can generate kernels with strong performance on server GPUs. Edge deployment presents distinct challenges because the hardware is heterogeneous, the sof…
D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation
Wenjie Zheng, Haoji Hu, Jiali Lu +2
Dataset distillation (DD) aims to compress large-scale datasets into compact synthetic sets while preserving training efficacy. However, existing studies mainly focus on image clas…
MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices?
Xingze Zou, Jing Wang, Yuhua Zheng +8
Large language models (LLMs) have demonstrated remarkable capabilities in code generation, yet their potential for generating kernels specifically for mobile devices remains largel…
Training-Free Multi-View Extension of IC-Light for Textual Position-Aware Scene Relighting
Jiangnan Ye, Jiedong Zhuang, Lianrui Mu +5
We introduce GS-Light, an efficient, textual position-aware pipeline for text-guided relighting of 3D scenes represented via Gaussian Splatting (3DGS). GS-Light implements a traini…
No Pixel Left Behind: A Detail-Preserving Architecture for Robust High-Resolution AI-Generated Image Detection
Lianrui Mu, Zou Xingze, Jianhong Bai +7
The rapid growth of high-resolution, meticulously crafted AI-generated images poses a significant challenge to existing detection methods, which are often trained and evaluated on…