| DreamCraft3D++ | DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model | arXiv | 2025 |
| Wonder3D | Wonder3D: Single Image to 3D using Cross-Domain Diffusion | CVPR | 2024 |
| Era3D | Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention | NeurIPS | 2024 |
| CRM | CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model | arXiv | 2024 |
| Unique3D | Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image | arXiv | 2024 |
| DreamFusion | Text-to-3D using 2D Diffusion | ICLR | 2023 |
| Magic3D | High-Resolution Text-to-3D Content Creation | CVPR | 2023 |
| ProlificDreamer | High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation | NeurIPS | 2023 |
| Zero-1-to-3 | Zero-shot One Image to 3D Object | ICCV | 2023 |
| One-2-3-45 | Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization | NeurIPS | 2023 |
| Instant3D | Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model | ICLR | 2024 |
| TripoSR | Fast 3D Object Reconstruction from a Single Image | arXiv | 2024 |
| Step1X-3D | Towards High-Fidelity and Controllable Generation of Textured 3D Assets | arXiv | 2025 |
| TriplaneTurbo | Progressive Rendering Distillation for Instant Text-to-Mesh (1.2s) | CVPR | 2025 |
| Meta 3D AssetGen | Text-to-Mesh with High-Fidelity Texture and PBR Materials | arXiv | 2024 |
| SAM 3D | 3Dfy Anything in Images — Geometry, Texture, and Layout from Single Images | arXiv | 2025 |
| TextMesh4D | Text-to-4D Mesh via Jacobian Deformation Fields | arXiv | 2025 |
| LRM | Large Reconstruction Model for Single Image to 3D | ICLR | 2024 |
| LGM | Large Multi-View Gaussian Model for High-Resolution 3D Content Creation | ECCV | 2024 |
| SV3D | Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion | ECCV | 2024 |
| DMV3D | Denoising Multi-View Diffusion using 3D Large Reconstruction Model | ICLR | 2024 |
| CLAY | CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets | arXiv | 2024 |
| Hunyuan3D 1.0 | Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation | Tencent | 2024 |
| Hunyuan3D 2.0 | Hunyuan3D 2.0: Scaling Diffusion Models for High-Resolution Textured 3D Asset Generation | Tencent | 2025 |
| Hunyuan3D-Omni | Hunyuan3D-Omni: A Unified Framework for Controllable 3D Asset Generation | Tencent | 2025 |
| TRELLIS | TRELLIS: Structured 3D Latents for Scalable and Versatile 3D Generation | Microsoft | 2024 |
| TRELLIS.2 | TRELLIS.2: Native and Compact Structured Latents for 3D Generation | Microsoft | 2025 |
| InstantMesh | InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Model | NeurIPS | 2024 |
| MeshAnything | MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers | arXiv | 2024 |
| MeshAnything V2 | MeshAnything V2: Artist-Created Mesh Generation with Adjacent Mesh Tokenization | arXiv | 2025 |
| GRM | GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation | ICML | 2024 |