Image to 3D
29 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Image to 3D
VBR
Most implemented papers
Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding
As a result, with a single image CLIP embedding, Isotropic3D is capable of generating multi-view mutually consistent images and also a 3D model with more symmetrical and neat content, well-proportioned geometry, rich colored texture, and less distortion compared with existing image-to-3D methods while still preserving the similarity to the reference image to a large extent.
Generic 3D Diffusion Adapter Using Controlled Multi-View Editing
Lakonik/MVEdit
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Open-domain 3D object synthesis has been lagging behind image synthesis due to limited data and higher computational complexity.
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
We propose MVSplat, an efficient feed-forward 3D Gaussian Splatting model learned from sparse multi-view images.
GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
justimyhxu/grm
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We introduce GRM, a large-scale reconstructor capable of recovering a 3D asset from sparse-view images in around 0. 1s.
FlexiDreamer: Single Image-to-3D Generation with FlexiCubes
However, since directly reconstructing triangle meshes from multi-view images is challenging, most methodologies opt to an implicit representation (such as NeRF) during the sparse-view reconstruction and acquire the target mesh by a post-processing extraction.
Diffusion Time-step Curriculum for One Image to 3D Generation
yxymessi/dtc123
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Score distillation sampling~(SDS) has been widely adopted to overcome the absence of unseen views in reconstructing 3D objects from a \textbf{single} image.
Hash3D: Training-free Acceleration for 3D Generation
Adamdad/hash3D
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The evolution of 3D generative modeling has been notably propelled by the adoption of 2D diffusion models.
6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction
Current 3D reconstruction techniques struggle to infer unbounded scenes from a few images faithfully.
OneTo3D: One Image to Re-editable Dynamic 3D Model and Video Generation
To address this issue, we propose the OneTo3D, a method and theory to used one single image to generate the editable 3D model and generate the targeted semantic continuous time-unlimited 3D video.
