Text-to-3D generation
Key facts. Text-to-3D generation: 268 papers on arXiv since 2021 (data through 19 Oct 2026). 229 of its 268 mapped papers (85%) cite “DreamFusion: Text-to-3D using 2D Diffusion” (2022, arXiv 2209.14988). 3 new papers 1 Oct–19 Oct.
What’s new
1 Oct – 19 Oct 2026
3 new since 1 Oct
Foundations
Most cited by papers here
- DreamFusion: Text-to-3D using 2D Diffusion2022cited by 229 here
- Magic3D: High-Resolution Text-to-3D Content Creation2022cited by 189 here
- ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation2023cited by 175 here
- Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation2023cited by 143 here
- Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures2022cited by 108 here
Lineage
The papers this direction builds on, oldest first.
Each paper on the line cites the one before.
- 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 39 here
- 2021Zero-Shot Text-Guided Object Generation with Dream Fieldscited by 100 here
- 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 229 here
- 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 189 here
- 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationcited by 143 here
- 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 175 here
- 2023SyncDreamer: Generating Multiview-consistent Images from a Single-view Imagecited by 67 here
- 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 107 here
- 2023LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matchingcited by 59 here
15 more it builds on, not in this chain
- 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 43 here
- 2022LION: Latent Point Diffusion Models for 3D Shape Generationcited by 38 here
- 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 108 here
- 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 111 here
- 2023Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Priorcited by 47 here
- 2023TextMesh: Generation of Realistic 3D Meshes From Text Promptscited by 41 here
- 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimizationcited by 53 here
- 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priorscited by 57 here
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 127 here
- 2023Text-to-3D using Gaussian Splattingcited by 54 here
- 2023SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3Dcited by 40 here
- 2023Wonder3D: Single Image to 3D using Cross-Domain Diffusioncited by 51 here
- 2023Text-to-3D with Classifier Score Distillationcited by 38 here
- 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 57 here
- 2023Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Modelcited by 48 here
The 24 most cited of 608.
Browse
30 of 268, ranked 6–35
- 6DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation2023107
- 7Zero-Shot Text-Guided Object Generation with Dream Fields2021100
- 8LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching202359
- 9Text-to-3D using Gaussian Splatting202354
- 10Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model202348
- 11TextMesh: Generation of Realistic 3D Meshes From Text Prompts202341
- 12SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D202340
- 13Text-to-3D with Classifier Score Distillation202338
- 14Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation202336
- 15ATT3D: Amortized Text-to-3D Object Synthesis202335
All 30
- 16DreamBooth3D: Subject-Driven Text-to-3D Generation202334
- 17GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models202334
- 18HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance202331
- 19RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D202328
- 20SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation202225
- 21Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models202225
- 22Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior202423
- 23T3Bench: Benchmarking Current Progress in Text-to-3D Generation202323
- 24GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting202420
- 25Compositional 3D Scene Generation using Locally Conditioned Diffusion202320
- 26Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer202417
- 27Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation202317
- 28Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields202316
- 293DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors202415
- 30Vox-E: Text-guided Voxel Editing of 3D Objects202315
- 31Control3D: Towards Controllable Text-to-3D Generation202315
- 32LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes202315
- 33IT3D: Improved Text-to-3D Generation with Explicit View Synthesis202314
- 34LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis202413
- 35DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior202313