3 papers
cond-mat.mtrl-sci2026
Low-loss phase-change material based programmable mode converter for photonic computing
Xueyang Shen, Ruixuan Chu, Ding Xu +3
Phase-change materials (PCMs)-based integrated photonic memory offers a viable pathway for the development of neuromorphic computing chip. The sizable optical contrast in the telec…
cs.AR2025
HERO: Hardware-Efficient RL-based Optimization Framework for NeRF Quantization
Yipu Zhang, Chaofang Ma, Jinming Ge +3
Neural Radiance Field (NeRF) has emerged as a promising 3D reconstruction method, delivering high-quality results for AR/VR applications. While quantization methods and hardware ac…
cs.AR2025
SpNeRF: Memory Efficient Sparse Volumetric Neural Rendering Accelerator for Edge Devices
Yipu Zhang, Jiawei Liang, Jian Peng +2
Neural rendering has gained prominence for its high-quality output, which is crucial for AR/VR applications. However, its large voxel grid data size and irregular access patterns c…