SOURCE-LINKED INTELLIGENCE
Inverse Rendering for Modeling with Line Primitives
Faithfully capturing diverse real-world objects with fuzzy, anisotropic structures, such as hair, fur, fibers, and textiles, for efficient real-time visualization remains challenging. Recent radiance field reconstruction methods capture these structures from multi-view images using translucent volumetric primitives such as 3D Gaussians rather than opaque low-dimensional primitives (e.g., triangles, line segments, and polylines), thereby limiting compatibility with standard depth-tested rasterization, reflection modeling, and physical simulation. We present an inverse rendering method for recon
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T03:05:52.000Z
First collected: 2026-09-21T06:21:59.299Z. This is not the publication date.