4 papers
Adaptive Time-step Training for Enhancing Spike-Based Neural Radiance Fields
Ranxi Lin, Canming Yao, Jiayi Li +3
Spiking Neural Networks (SNNs) provide an energy-efficient computing paradigm for neural rendering, but existing spike-based Neural Radiance Field (NeRF) models usually use a fixed…
ROSA: Robust and Energy-Efficient Microring-Based Optical Neural Networks via Optical Shift-and-Add and Layer-Wise Hybrid Mapping
Huifan Zhang, Yun Hu, Caizhi Sheng +2
This work presents ROSA, a microring-based optical neural network architecture that improves robustness and energy efficiency using an optical shift-and-add (OSA) module and a laye…
Efficient RF Passive Components Modeling with Bayesian Online Learning and Uncertainty Aware Sampling
Huifan Zhang, Pingqiang Zhou
Conventional radio frequency (RF) passive components modeling based on machine learning requires extensive electromagnetic (EM) simulations to cover geometric and frequency design…
An Energy-Efficient Edge Coprocessor for Neural Rendering with Explicit Data Reuse Strategies
Binzhe Yuan, Xiangyu Zhang, Zeyu Zheng +12
Neural radiance fields (NeRF) have transformed 3D reconstruction and rendering, facilitating photorealistic image synthesis from sparse viewpoints. This work introduces an explicit…