14 citations · 14 across the 5 of their papers we have counts for
5 papers
DLP-GAN: learning to draw modern Chinese landscape photos with generative adversarial network
Xiangquan Gui, Binxuan Zhang, Li Li +1
Chinese landscape painting has a unique and artistic style, and its drawing technique is highly abstract in both the use of color and the realistic representation of objects. Previ…
When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference
Zhensu Sun, Xiaoning Du, Fu Song +2
Leveraging recent advancements in large language models, modern neural code completion models have demonstrated the capability to generate highly accurate code suggestions. However…
DarkShot: Lighting Dark Images with Low-Compute and High-Quality
Jiazhang Zheng, Lei Li, Qiuping Liao +3
Nighttime photography encounters escalating challenges in extremely low-light conditions, primarily attributable to the ultra-low signal-to-noise ratio. For real-world deployment,…
Progressive Recurrent Network for Shadow Removal
Yonghui Wang, Wengang Zhou, Hao Feng +2
Single-image shadow removal is a significant task that is still unresolved. Most existing deep learning-based approaches attempt to remove the shadow directly, which can not deal w…
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs
Yangjie Zhou, Yaoxu Song, Jingwen Leng +7
Graph neural networks (GNNs) are powerful tools for exploring and learning from graph structures and features. As such, achieving high-performance execution for GNNs becomes crucia…