Reproduce “Fusing in 3D: Free-Viewpoint Fusion Rendering with a 3D Infrared-Visible Scene Representation” on OpenResearch
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About this paper
Chao Yang, Deshui Miao, Chao Tian, Guoqing Zhu, Yameng Gu, Zhenyu He
The Infrared-Visible Gaussian Fusion (IVGF) framework introduces a method for direct, free-viewpoint rendering of fused infrared-visible images from a 3D scene representation. This approach effectively resolves modality conflicts and preserves critical information from both sources, yielding superior perceptual quality with higher SSIM and lower LPIPS scores while improving efficiency compared to traditional 2D fusion and render-then-fusion pipelines.
Key insights
- Integrating modality-specific information directly into a 3D Gaussian Splatting representation with a learned adjustment mechanism can effectively resolve cross-modal conflicts and enable free-viewpoint fusion.
- A two-stage training approach, separating initial modality reconstruction from subsequent fusion optimization, provides a robust framework for coherent 3D fused scene learning.
- Specialized fusion loss functions emphasizing both intensity and gradient information are crucial for retaining unique and complementary features from visible and infrared images within the fused 3D representation.
Summary by alphaXiv.
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