mlsanityData to 14 Oct 2026

GradeADreamer: Enhanced Text-to-3D Generation Using Gaussian Splatting and Multi-View Diffusion

arXiv 2406.09850 ↗First posted 14 Jun 2024cs.CVcited by 4

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Abstract (arXiv)

Text-to-3D generation has shown promising results, yet common challenges such as the Multi-face Janus problem and extended generation time for high-quality assets. In this paper, we address these issues by introducing a novel three-stage training pipeline called GradeADreamer. This pipeline is capable of producing high-quality assets with a total generation time of under 30 minutes using only a single RTX 3090 GPU. Our proposed method employs a Multi-view Diffusion Model, MVDream, to generate Gaussian Splats as a prior, followed by refining geometry and texture using StableDiffusion. Experimental results demonstrate that our approach significantly mitigates the Multi-face Janus problem and achieves the highest average user preference ranking compared to previous state-of-the-art methods. The project code is available at https://github.com/trapoom555/GradeADreamer.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 26 of its 36 references that are in the map. First posted on arXiv 14 Jun 2024.

Builds on

26 of 36 references.

References · 26

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  2. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  3. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,300
  4. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,025
  5. 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,290
  6. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,219
  7. 2023MVDream: Multi-view Diffusion for 3D Generationcited by 938
  8. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 843
  9. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationcited by 687
  10. 2023SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Renderingcited by 616
  11. 2016Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modelingcited by 558
  12. 2021Zero-Shot Text-Guided Object Generation with Dream Fieldscited by 513
14 more
  1. 2016Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithmcited by 507
  2. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
  3. 2023LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matchingcited by 290
  4. 2022CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelscited by 281
  5. 2023GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Modelscited by 255
  6. 2018Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddingscited by 169
  7. 2023Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fieldscited by 123
  8. 2024Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstructioncited by 56
  9. 2018A Unified Particle-Optimization Framework for Scalable Bayesian Samplingcited by 44
  10. 2022Particle-based Variational Inference with Preconditioned Functional Gradient Flowcited by 20
  11. 2024PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splattingcited by 15
  12. 2024DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Datacited by 15
  13. 2024Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Modelcited by 3
  14. 2024ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score Matchingcited by 2

Built on by

Cited by year

Citing papers per year: 2024: 2; 2025: 2.

4 papers.

  1. 2024LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Modelscited by 51
  2. 2025A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generationcited by 19
  3. 2024TV-3DG: Mastering Text-to-3D Customized Generation with Visual Promptcited by 8
  4. 2025GeoTexBuild: 3D Building Model Generation from Map Footprintscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2023Text-to-3D using Gaussian Splatting
  2. 2025Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting
  3. 2024Turbo3D: Ultra-fast Text-to-3D Generation
  4. 2025DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
  5. 2026PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation
  6. 2024Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting
  7. 2023CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting
  8. 2024PlacidDreamer: Advancing Harmony in Text-to-3D Generation