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Summary of Flash-splat: 3d Reflection Removal with Flash Cues and Gaussian Splats, by Mingyang Xie et al.


Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats

by Mingyang Xie, Haoming Cai, Sachin Shah, Yiran Xu, Brandon Y. Feng, Jia-Bin Huang, Christopher A. Metzler

First submitted to arxiv on: 3 Oct 2024

Categories

  • Main: Computer Vision and Pattern Recognition (cs.CV)
  • Secondary: Machine Learning (cs.LG); Image and Video Processing (eess.IV)

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
Our proposed approach for separating transmitted and reflected light leverages the capabilities of modern inverse rendering methods, such as 3D Gaussian splatting. This allows us to perform flash/no-flash reflection separation using unpaired measurements, simplifying image acquisition compared to conventional paired methods. Our method, Flash-Splat, accurately reconstructs both transmitted and reflected scenes in 3D through extensive real-world experiments.
Low GrooveSquid.com (original content) Low Difficulty Summary
Our approach uses powerful inverse rendering methods like 3D Gaussian splatting to separate light into transmitted and reflected components using unpaired measurements. This simplifies image acquisition compared to traditional paired flash/no-flash reflection separation methods. Our method, Flash-Splat, accurately reconstructs scenes in 3D through real-world experiments.

Keywords

* Artificial intelligence