[ECCV-2024] LN3Diff creates high-quality 3D object mesh from text within 8 V100-SECONDS.
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Updated
Jul 3, 2024 - Python
[ECCV-2024] LN3Diff creates high-quality 3D object mesh from text within 8 V100-SECONDS.
Official Code for 'TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes' (CVPR 2024)
CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner
This is the official repository for ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation [ECCV2024]
[NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
[CVPR2024] DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation
nuwa (女媧/女娲, Nǚwā) is a Python package for preparing images and videos for 3D reconstruction and generation pipelines.
[CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
Official implementation of "Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting"
SculptMate is a Blender add-on that generates a 3D mesh from an image within a minute.
The official implementation of "CityDreamer: Compositional Generative Model of Unbounded 3D Cities". (Xie et al., CVPR 2024)
[CVPR 2024] EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
Official implementation of Bootstrap3D: Improving 3D Content Creation with Synthetic Data
Single Image to 3D using Cross-Domain Diffusion for 3D Generation
Official implementation of "MoMask: Generative Masked Modeling of 3D Human Motions (CVPR2024)"
Official implentation of "Ghost on the Shell: An Expressive Representation of General 3D Shapes" (ICLR 2024 Oral)
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