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Shiu-hong Kao

4 accepted papers

2025

StreamGS: Online Generalizable Gaussian Splatting Reconstruction for Unposed Image Streams

ICCV 2025poster

The advent of 3D Gaussian Splatting (3DGS) has advanced 3D scene reconstruction and novel view synthesis. With the growing interest of interactive applications that need immediate feedback, online 3DGS reconstruction in real-time is in high demand. However, none of existing methods yet meet the dema…

Cited by 0SourcePDFScholar
2024

Diffusion-Generated Pseudo-Observations for High-Quality Sparse-View Reconstruction

ECCV 2024poster

"Novel view synthesis via Neural Radiance Fields (NeRFs) or 3D Gaussian Splatting (3DGS) typically necessitates dense observations with hundreds of input images to circumvent artifacts. We introduce Deceptive-NeRF/3DGS1 to enhance sparse-view reconstruction with only a limited set of input images, b…

Cited by 0SourcePDFScholar
2023

Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks

CVPR 2023poster

To design fast neural networks, many works have been focusing on reducing the number of floating-point operations (FLOPs). We observe that such reduction in FLOPs, however, does not necessarily lead to a similar level of reduction in latency. This mainly stems from inefficiently low floating-point o…