Lidong Guo — accepted AI-conference papers

2024

Rad-NeRF: Ray-decoupled Training of Neural Radiance Field

Lidong Guo, Xuefei Ning, Yonggan Fu, Tianchen Zhao, Zhuoliang Kang, Jincheng Yu +2

NeurIPS 2024poster

Although the neural radiance field (NeRF) exhibits high-fidelity visualization on the rendering task, it still suffers from rendering defects, especially in complex scenes. In this paper, we delve into the reason for the unsatisfactory performance and conjecture that it comes from interference in th…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2023

Memory-Oriented Structural Pruning for Efficient Image Restoration

Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai +3

AAAI 2023technical

Deep learning (DL) based methods have significantly pushed forward the state-of-the-art for image restoration (IR) task. Nevertheless, DL-based IR models are highly computation- and memory-intensive. The surging demands for processing higher-resolution images and multi-task paralleling in practical…

Cited by 4 Source ↗PDF ↗Scholar ↗