mlsanityData to 13 Oct 2026

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling

arXiv 2311.17082 ↗First posted 28 Nov 2023cs.CV stat.MLcited by 20

On the map: Diffusion models → 3D, point cloud and scene generation

Abstract (arXiv)

Recent methods such as Score Distillation Sampling (SDS) and Variational Score Distillation (VSD) using 2D diffusion models for text-to-3D generation have demonstrated impressive generation quality. However, the long generation time of such algorithms significantly degrades the user experience. To tackle this problem, we propose DreamPropeller, a drop-in acceleration algorithm that can be wrapped around any existing text-to-3D generation pipeline based on score distillation. Our framework generalizes Picard iterations, a classical algorithm for parallel sampling an ODE path, and can account for non-ODE paths such as momentum-based gradient updates and changes in dimensions during the optimization process as in many cases of 3D generation. We show that our algorithm trades parallel compute for wallclock time and empirically achieves up to 4.7x speedup with a negligible drop in generation quality for all tested frameworks.

Key facts. Cited by 20 papers in the map (data through 13 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 36 of its 50 references that are in the map. First posted on arXiv 28 Nov 2023.

Builds on

36 of 50 references.

Closest ancestors · 12

Same direction, newest first

  1. 2023Consistent123: Improve Consistency for One Image to 3D Object Synthesis12 Oct
  2. 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors30 Jun
  3. 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization29 Jun
  4. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation25 May
  5. 2023TextMesh: Generation of Realistic 3D Meshes From Text Prompts24 Apr
  6. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation24 Mar
  7. 2023CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout24 Mar
  8. 2023Zero-1-to-3: Zero-shot One Image to 3D Object20 Mar
  9. 2022Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation1 Dec
  10. 20223D Neural Field Generation using Triplane Diffusion30 Nov
  11. 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep
  12. 2021Diffusion Probabilistic Models for 3D Point Cloud Generation2 Mar

Other references · 24

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,952
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,777
  3. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,028
  4. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,023
  5. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,339
  6. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,170
  7. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,484
  8. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,141
  9. 2019Generative Modeling by Estimating Gradients of the Data Distributioncited by 4,077
  10. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,240
  11. 2022Multi-Concept Customization of Text-to-Image Diffusioncited by 1,104
  12. 2022eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoiserscited by 926
12 more
  1. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 839
  2. 20213D Shape Generation and Completion through Point-Voxel Diffusioncited by 516
  3. 2021Zero-Shot Text-Guided Object Generation with Dream Fieldscited by 513
  4. 2018Blockwise Parallel Decoding for Deep Autoregressive Modelscited by 319
  5. 2022CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelscited by 281
  6. 2022The Role of ImageNet Classes in Fr'echet Inception Distancecited by 213
  7. 2023Cones: Concept Neurons in Diffusion Models for Customized Generationcited by 150
  8. 2023Parallel Sampling of Diffusion Modelscited by 112
  9. 2023Compositional 3D Scene Generation using Locally Conditioned Diffusioncited by 101
  10. 2023Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenescited by 75
  11. 2020Accelerating Feedforward Computation via Parallel Nonlinear Equation Solvingcited by 51
  12. 2023Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clippingcited by 17

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2023: 1; 2024: 7; 2025: 9; 2026: 3.

20 papers.

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By area:

  1. 2024SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistencycited by 143
  2. 2025SV4D 2.0: Enhancing Spatio-Temporal Consistency in Multi-View Video Diffusion for High-Quality 4D Generationcited by 47
  3. 2024LLMs Meet Multimodal Generation and Editing: A Surveycited by 35
  4. 2024ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillationcited by 27
  5. 2024Collaborative Control for Geometry-Conditioned PBR Image Generationcited by 22
  6. 2024A Survey On Text-to-3D Contents Generation In The Wildcited by 14
  7. 2024Text-to-3D Shape Generationcited by 13
  8. 2025CharacterShot: Controllable and Consistent 4D Character Animationcited by 9
  9. 2024A General Framework to Boost 3D GS Initialization for Text-to-3D Generation by Lexical Richnesscited by 8
  10. 2025Splat4D: Diffusion-Enhanced 4D Gaussian Splatting for Temporally and Spatially Consistent Content Creationcited by 8
  11. 2025Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generationcited by 5
  12. 2025FB-4D: Spatial-Temporal Coherent Dynamic 3D Content Generation with Feature Bankscited by 3
8 more
  1. 20254DVD: Cascaded Dense-view Video Diffusion Model for High-quality 4D Content Generationcited by 3
  2. 2025GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfercited by 2
  3. 2026Preference Score Distillation: Leveraging 2D Rewards to Align Text-to-3D Generation with Human Preferencecited by 2
  4. 2023Text-Image Conditioned Diffusion for Consistent Text-to-3D Generationcited by 1
  5. 2025CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solverscited by 1
  6. 2025Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillationcited by 0
  7. 2026ForgeDreamer: Industrial Text-to-3D Generation with Multi-Expert LoRA and Cross-View Hypergraphcited by 0
  8. 2026Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow
  2. 2024DreamMapping: High-Fidelity Text-to-3D Generation via Variational Distribution Mapping
  3. 2025Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting
  4. 2025Walking the Schr"odinger Bridge: A Direct Trajectory for Text-to-3D Generation
  5. 2024Flow Score Distillation for Diverse Text-to-3D Generation
  6. 2024Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior
  7. 2023RL Dreams: Policy Gradient Optimization for Score Distillation based 3D Generation
  8. 2025Rethinking Score Distilling Sampling for 3D Editing and Generation