Soft Neural Renderer with Learnable Triangles
2025-05-30
This research introduces a novel neural rendering method using learnable 3D triangles as primitives. Unlike traditional binary masks, it employs a smooth window function derived from the triangle's 2D signed distance field (SDF) to softly modulate the triangle's influence on pixels. A smoothness parameter, σ, controls the sharpness of this window function, allowing a smooth transition from a binary mask to an approximation of a delta function. The final image is generated by alpha blending the contributions of all projected triangles. The entire process is differentiable, enabling gradient-based learning to optimize triangle parameters.
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