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Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
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site name
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2026-02-07 10:17:21
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Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior Junshu Tang 1 , Tengfei Wang 2 , Bo Zhang 3 , Ting Zhang 3 , Ran Yi 1 , Lizhuang Ma 1 , Dong Chen 3 1 Shanghai Jiao Tong University, 2 HKUST, 3 Microsoft Research arXiv Video Code Code(Jittor) Data Make-It-3D can create high-fidelity 3D content from only a single image. Abstract In this work, we investigate the problem of creating high-fidelity 3D content from only a single image. This is inherently challenging: it essentially involves estimating the underlying 3D geometry while simultaneously hallucinating unseen textures. To address this challenge, we leverage prior knowledge from a well-trained 2D diffusion model to act as 3D-aware supervision for 3D creation. Our approach, Make-It-3D , employs a two-stage optimization...
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