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Recently, the emergence of diffusion models has opened up new opportunities for single-view reconstruction.
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One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization
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Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors
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Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior
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Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
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Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 12619–12629
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3D-aware Image Generation using 2D Diffusion Models
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Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning
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NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4479–4489
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SAM3D: Segment Anything in 3D Scenes
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Locally attentional sdf diffusion for controllable 3d shape generation
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EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Motion Generation
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