junshutang/Make-It-3D

[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

PythonCudaOthercomputer-visiondeep-learninggenerative-artnerf3d-vision3d-generationdiffusion-models
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Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior (ICCV 2023) Project page | Paper Junshu Tang, Tengfei Wang, Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, and Dong Chen. 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...
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