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arXiv Computer Vision By Yiming Liang, Tianyu Xiao, Hiroshi Ishikawa

Gaussian Splatting with Reflections Guided by What is Seen

Read the original on arXiv Computer Vision →

The paper introduces a new framework that uses 2D Gaussian Splatting to capture view‑dependent specular effects, especially near‑field reflections, by directly leveraging observable environment information in input images. It combines a hybrid reflection appearance representation with view‑dependent specular modeling, and demonstrates improved rendering quality and geometric accuracy on public benchmarks and a newly curated near‑field reflection dataset.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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