Statistics for topic image-to-3d
RepositoryStats tracks 595,856 Github repositories, of these 29 are tagged with the image-to-3d topic. The most common primary language for repositories using this topic is Python (20).
Stargazers over time for topic image-to-3d
Most starred repositories for topic image-to-3d (view more)
Trending repositories for topic image-to-3d (view more)
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
[NeurIPS 2024] Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
🪐 Objaverse-XL is a Universe of 10M+ 3D Objects. Contains API Scripts for Downloading and Processing!
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
🪐 Objaverse-XL is a Universe of 10M+ 3D Objects. Contains API Scripts for Downloading and Processing!
[NeurIPS 2024] Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
[NeurIPS 2024] Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
Generate 3D meshes from 2D images and retexture them directly in Unity.
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation
Hybrid Fourier Score Distillation for Efficient One Image to 3D Object Generation
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
[NeurIPS 2024] Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation
Generate 3D meshes from 2D images and retexture them directly in Unity.
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
[NeurIPS 2024] Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
[NeurIPS 2024] Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
[NeurIPS 2024] Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
3DTopia-XL: High-Quality 3D PBR Asset Generation via Primitive Diffusion
An official implementation of FlexiDreamer: Single Image-to-3D Generation with FlexiCubes.