24 citations · 24 across the 6 of their papers we have counts for
6 papers
PRTGS: Precomputed Radiance Transfer of Gaussian Splats for Real-Time High-Quality Relighting
Yijia Guo, Yuanxi Bai, Liwen Hu +5
We proposed Precomputed RadianceTransfer of GaussianSplats (PRTGS), a real-time high-quality relighting method for Gaussian splats in low-frequency lighting environments that captu…
SpikeGS: Reconstruct 3D scene via fast-moving bio-inspired sensors
Yijia Guo, Liwen Hu, Yuanxi Bai +3
3D Gaussian Splatting (3DGS) demonstrates unparalleled superior performance in 3D scene reconstruction. However, 3DGS heavily relies on the sharp images. Fulfilling this requiremen…
Embedded Visual Prompt Tuning
Wenqiang Zu, Shenghao Xie, Qing Zhao +2
Foundation models pre-trained on large-scale data have been widely witnessed to achieve success in various natural imaging downstream tasks. Parameter-efficient fine-tuning (PEFT)…
SCSim: A Realistic Spike Cameras Simulator
Liwen Hu, Lei Ma, Yijia Guo +1
Spike cameras, with their exceptional temporal resolution, are revolutionizing high-speed visual applications. Large-scale synthetic datasets have significantly accelerated the dev…
Spike-NeRF: Neural Radiance Field Based On Spike Camera
Yijia Guo, Yuanxi Bai, Liwen Hu +4
As a neuromorphic sensor with high temporal resolution, spike cameras offer notable advantages over traditional cameras in high-speed vision applications such as high-speed optical…
Learning to Robustly Reconstruct Low-light Dynamic Scenes from Spike Streams
Liwen Hu, Ziluo Ding, Mianzhi Liu +2
As a neuromorphic sensor with high temporal resolution, spike camera can generate continuous binary spike streams to capture per-pixel light intensity. We can use reconstruction me…