Generate 3D assets with a text prompt or an image.
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Updated
May 1, 2024 - Jupyter Notebook
Generate 3D assets with a text prompt or an image.
Generate 3D meshes from 2D images and retexture them directly in Unity.
From Geometry to Texture: A Hierarchical Framework for Efficient Text-to-3D Generation
Web-based tool that turns 2D images into smooth 3D models.
index site for generative 3D resources
3D Human Generation With Mesh From 2D Images
A Non-Official Meshy Rest Client for Unity (UPM)
An official implementation of FlexiDreamer: Single Image-to-3D Generation with FlexiCubes.
ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion
Official implementation of Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior
Hash3D: Training-free Acceleration for 3D Generation
A diffuser implementation of Zero123. Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV23)
[CVPR 2024] Official pytorch implementation of "HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D"
Code repository for "ZeroShape: Regression-based Zero-shot Shape Reconstruction".
[NeurIPS 2023] Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
List of recent advances for human avatars, including generation, reconstruction, and editing, etc.
[CVPR 2023, Highlight] "NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
A growing curation of Text-to-3D, Diffusion-to-3D works.
🪐 Objaverse-XL is a Universe of 10M+ 3D Objects. Contains API Scripts for Downloading and Processing!
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
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