haato-w/3d-gabor-splatting
Official PyTorch Implementation for the "3D Gabor Splatting: Reconstruction of High-frequency Surface Texture using Gabor Noise" paper (Eurographics 2025 Short).
This project helps 3D content creators, visual effects artists, or digital heritage preservationists accurately reconstruct complex surface details from multiple camera images. It takes a collection of photos of a real-world scene or object and generates a highly detailed 3D model that captures fine textures like fabric weaves or rough surfaces more precisely than other methods. This is ideal for professionals needing photorealistic digital twins.
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Use this if you need to create highly detailed 3D models with intricate surface textures from photographs for applications like VFX, game asset creation, or digital archival.
Not ideal if you only need basic 3D shape reconstruction without a strong emphasis on capturing fine surface textures, or if you prefer simpler, less computationally intensive methods.
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Python
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Last pushed
May 06, 2025
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