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SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement

About

We present SF3D, a novel method for rapid and high-quality textured object mesh reconstruction from a single image in just 0.5 seconds. Unlike most existing approaches, SF3D is explicitly trained for mesh generation, incorporating a fast UV unwrapping technique that enables swift texture generation rather than relying on vertex colors. The method also learns to predict material parameters and normal maps to enhance the visual quality of the reconstructed 3D meshes. Furthermore, SF3D integrates a delighting step to effectively remove low-frequency illumination effects, ensuring that the reconstructed meshes can be easily used in novel illumination conditions. Experiments demonstrate the superior performance of SF3D over the existing techniques. Project page: https://stable-fast-3d.github.io

Mark Boss, Zixuan Huang, Aaryaman Vasishta, Varun Jampani• 2024

Related benchmarks

TaskDatasetResultRank
Reflective Object ReconstructionShiny Blender
PSNR18.03
18
Image-to-3D GenerationGoogle Scanned Objects (GSO)
CLIP Similarity74.63
14
Single-view 3D ReconstructionGSO (test)
CD0.137
13
Novel View SynthesisGSO + Stanford ORB
PSNR17.64
13
3D ReconstructionGSO + Stanford ORB
Chamfer Distance (CD)0.132
13
Novel View SynthesisuCo3D
PSNR12.79
13
3D ReconstructionuCo3D
Chamfer Distance (CD)0.248
13
Image SynthesisStanford-ORB
PSNR17.75
11
RelightingPolyhaven + Blender Shiny
PSNR15.79
11
3D ReconstructionStanford-ORB
Chamfer Distance (CD)0.152
11
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