3 papers
eess.IV2025
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…
math.NA2023
A Numerical-based Parametric Error Analysis Method for Goldschmidt Floating Point Division
Binzhe Yuan, Liangtao Dai, Xin Lou
This paper proposes a parametric error analysis method for Goldschmidt floating point division, which reveals how the errors of the intermediate results accumulate and propagate du…
cs.AR2022
ICARUS: A Specialized Architecture for Neural Radiance Fields Rendering
Chaolin Rao, Huangjie Yu, Haochuan Wan +9
The practical deployment of Neural Radiance Fields (NeRF) in rendering applications faces several challenges, with the most critical one being low rendering speed on even high-end…