mlsanityData to 7 Oct 2026

Comp4D: LLM-Guided Compositional 4D Scene Generation

arXiv 2403.16993 ↗First posted 25 Mar 2024cs.CVcited by 50

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

Abstract (arXiv)

Recent advancements in diffusion models for 2D and 3D content creation have sparked a surge of interest in generating 4D content. However, the scarcity of 3D scene datasets constrains current methodologies to primarily object-centric generation. To overcome this limitation, we present Comp4D, a novel framework for Compositional 4D Generation. Unlike conventional methods that generate a singular 4D representation of the entire scene, Comp4D innovatively constructs each 4D object within the scene separately. Utilizing Large Language Models (LLMs), the framework begins by decomposing an input text prompt into distinct entities and maps out their trajectories. It then constructs the compositional 4D scene by accurately positioning these objects along their designated paths. To refine the scene, our method employs a compositional score distillation technique guided by the pre-defined trajectories, utilizing pre-trained diffusion models across text-to-image, text-to-video, and text-to-3D domains. Extensive experiments demonstrate our outstanding 4D content creation capability compared to prior arts, showcasing superior visual quality, motion fidelity, and enhanced object interactions.

Key facts. Cited by 50 papers in the map (data through 7 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 46 of its 48 references that are in the map. First posted on arXiv 25 Mar 2024.

Builds on

46 of 48 references.

Closest ancestors · 13

Same direction, newest first

  1. 20234DGen: Grounded 4D Content Generation with Spatial-temporal Consistency28 Dec
  2. 2023Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models21 Dec
  3. 2023CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting29 Nov
  4. 2023A Unified Approach for Text- and Image-guided 4D Scene Generation28 Nov
  5. 2023Animate124: Animating One Image to 4D Dynamic Scene24 Nov
  6. 2023Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model23 Oct
  7. 2023MVDream: Multi-view Diffusion for 3D Generation31 Aug
  8. 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors30 Jun
  9. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation25 May
  10. 2023Zero-1-to-3: Zero-shot One Image to 3D Object20 Mar
  11. 2022Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation1 Dec
  12. 2022NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360deg Views29 Nov
1 more
  1. 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep

Other references · 33

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  3. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  4. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  5. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  6. 2022Do As I Can, Not As I Say: Grounding Language in Robotic Affordancescited by 2,302
  7. 2020Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainscited by 2,170
  8. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,522
  9. 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,459
  10. 2021Grounded Language-Image Pre-trainingcited by 1,147
  11. 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,144
  12. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 767
21 more
  1. 2023mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaborationcited by 545
  2. 2023Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levelscited by 489
  3. 2023Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splattingcited by 470
  4. 2019Explain Yourself! Leveraging Language Models for Commonsense Reasoningcited by 367
  5. 2023Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesiscited by 341
  6. 2020Real-Time Intermediate Flow Estimation for Video Frame Interpolationcited by 211
  7. 2023Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particlecited by 210
  8. 2023Text-To-4D Dynamic Scene Generationcited by 204
  9. 2023DreamGaussian4D: Generative 4D Gaussian Splattingcited by 191
  10. 20244D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenescited by 185
  11. 20234D-fy: Text-to-4D Generation Using Hybrid Score Distillation Samplingcited by 184
  12. 2023MotionLM: Multi-Agent Motion Forecasting as Language Modelingcited by 154
  13. 2023Consistent4D: Consistent 360deg Dynamic Object Generation from Monocular Videocited by 124
  14. 2023Language Models as Zero-Shot Trajectory Generatorscited by 59
  15. 2023A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesiscited by 59
  16. 2022Improving In-Context Few-Shot Learning via Self-Supervised Trainingcited by 56
  17. 2022LATTE: LAnguage Trajectory TransformErcited by 40
  18. 2023Multimodal Procedural Planning via Dual Text-Image Promptingcited by 40
  19. 20233D Cinemagraphy from a Single Imagecited by 23
  20. 2023A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answeringcited by 23
  21. 2023Fine-Tuning Language Models Using Formal Methods Feedbackcited by 12

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 18; 2025: 23; 2026: 9.

50 papers.

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By area:

  1. 2024CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generationcited by 163
  2. 2024VD3D: Taming Large Video Diffusion Transformers for 3D Camera Controlcited by 156
  3. 2024AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformerscited by 151
  4. 2025WorldScore: A Unified Evaluation Benchmark for World Generationcited by 143
  5. 2024Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Modelscited by 99
  6. 2024Wonderland: Navigating 3D Scenes from a Single Imagecited by 98
  7. 2025Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modelingcited by 86
  8. 2024DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videoscited by 63
  9. 2024Animate3D: Animating Any 3D Model with Multi-view Video Diffusioncited by 55
  10. 2024EG4D: Explicit Generation of 4D Object without Score Distillationcited by 45
  11. 2025World-in-World: World Models in a Closed-Loop Worldcited by 44
  12. 2025Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillationcited by 37
38 more
  1. 2024DreamDrive: Generative 4D Scene Modeling from Street View Imagescited by 35
  2. 2024AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animationcited by 25
  3. 20253D Scene Generation: A Surveycited by 24
  4. 2024MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurementscited by 22
  5. 2024Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesiscited by 19
  6. 2024Compositional 3D-aware Video Generation with LLM Directorcited by 18
  7. 2025Compositional Generative Model of Unbounded 4D Citiescited by 16
  8. 20244Dynamic: Text-to-4D Generation with Hybrid Priorscited by 15
  9. 2025PAT3D: Physics-Augmented Text-to-3D Scene Generationcited by 14
  10. 2025Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fieldscited by 13
  11. 2024ElastoGen: 4D Generative Elastodynamicscited by 10
  12. 2025WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenescited by 10
  13. 2025Digital Twin Generation from Visual Data: A Surveycited by 7
  14. 2025AnimaMimic: Imitating 3D Animation from Video Priorscited by 7
  15. 2024Bringing Objects to Life: training-free 4D generation from 3D objects through view consistent noisecited by 5
  16. 2025Multi-Object Sketch Animation by Scene Decomposition and Motion Planningcited by 4
  17. 2025Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Expertscited by 4
  18. 2025Advances in 4D Representation: Geometry, Motion, and Interactioncited by 4
  19. 2026SimWorlds: A Multi-Agent System for Dynamic 3D Scene Creationcited by 4
  20. 2026GS-Agent: Creating 4D Physical Worlds With Generative Simulationcited by 4
  21. 2024Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospectscited by 2
  22. 2024PaintScene4D: Consistent 4D Scene Generation from Text Promptscited by 2
  23. 2025Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infillingcited by 2
  24. 2026CP4D: Compositional Physics-aware 4D Scene Generationcited by 2
  25. 2025Advances in 4D Generation: A Surveycited by 1
  26. 2025From Fields to Splats: A Cross-Domain Survey of Real-Time Neural Scene Representationscited by 1
  27. 2025Bridging the Gap Between Multimodal Foundation Models and World Modelscited by 1
  28. 2025MorphoSim: An Interactive, Controllable, and Editable Language-guided 4D World Simulatorcited by 1
  29. 2025DynamicTree: Interactive Real Tree Animation via Sparse Voxel Spectrumcited by 1
  30. 2026SV-GS: Sparse View 4D Reconstruction with Skeleton-Driven Gaussian Splattingcited by 1
  31. 2025TextMesh4D: Zero-shot Text-to-4D Mesh Generationcited by 0
  32. 2025Object-Aware 4D Human Motion Generationcited by 0
  33. 2025AnchorHOI: Zero-shot Generation of 4D Human-Object Interaction via Anchor-based Prior Distillationcited by 0
  34. 2026Orthogonal Spatial-temporal Distributional Transfer for 4D Generationcited by 0
  35. 2026Complet4R: Geometric Complete 4D Reconstructioncited by 0
  36. 2026Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generationcited by 0
  37. 2026Beyond Pixels: From Video Priors to 4D Worldscited by 0
  38. 2026World Motion Models: Flexible Sequence Modeling of SE(3) Trajectoriescited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model
  2. 2025CoCo4D: Comprehensive and Complex 4D Scene Generation
  3. 2024CT4D: Consistent Text-to-4D Generation with Animatable Meshes
  4. 2026Alignment Is All You Need For X-to-4D Generation
  5. 2024Semantic Score Distillation Sampling for Compositional Text-to-3D Generation
  6. 20254DNeX: Feed-Forward 4D Generative Modeling Made Easy
  7. 2024Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models
  8. 2025Inferring Compositional 4D Scenes without Ever Seeing One