mlsanityData to 14 Oct 2026

Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation

arXiv 2411.02293 ↗First posted 4 Nov 2024cs.CV cs.AIcited by 82

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

Abstract (arXiv)

While 3D generative models have greatly improved artists' workflows, the existing diffusion models for 3D generation suffer from slow generation and poor generalization. To address this issue, we propose a two-stage approach named Hunyuan3D 1.0 including a lite version and a standard version, that both support text- and image-conditioned generation. In the first stage, we employ a multi-view diffusion model that efficiently generates multi-view RGB in approximately 4 seconds. These multi-view images capture rich details of the 3D asset from different viewpoints, relaxing the tasks from single-view to multi-view reconstruction. In the second stage, we introduce a feed-forward reconstruction model that rapidly and faithfully reconstructs the 3D asset given the generated multi-view images in approximately 7 seconds. The reconstruction network learns to handle noises and in-consistency introduced by the multi-view diffusion and leverages the available information from the condition image to efficiently recover the 3D structure. Our framework involves the text-to-image model, i.e., Hunyuan-DiT, making it a unified framework to support both text- and image-conditioned 3D generation. Our standard version has 3x more parameters than our lite and other existing model. Our Hunyuan3D 1.0 achieves an impressive balance between speed and quality, significantly reducing generation time while maintaining the quality and diversity of the produced assets.

Key facts. Cited by 82 papers in the map (data through 14 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. First posted on arXiv 4 Nov 2024.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 4; 2025: 47; 2026: 31.

82 papers.

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  1. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 356
  2. 2025SAM 3D: 3Dfy Anything in Imagescited by 247
  3. 2025Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Materialcited by 165
  4. 2025Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Detailscited by 125
  5. 20253D and 4D World Modeling: A Surveycited by 67
  6. 2024You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scalecited by 65
  7. 2025DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learningcited by 65
  8. 2025GigaWorld-0: World Models as Data Engine to Empower Embodied AIcited by 62
  9. 2025LATTICE: Democratize High-Fidelity 3D Generation at Scalecited by 44
  10. 2024FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstructioncited by 41
  11. 2025ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understandingcited by 38
  12. 2025ReconViaGen: Towards Accurate Multi-view 3D Object Reconstruction via Generationcited by 33
38 more
  1. 2025MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusioncited by 28
  2. 2025Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assetscited by 22
  3. 2025UniLat3D: Geometry-Appearance Unified Latents for Single-Stage 3D Generationcited by 20
  4. 2025LLM/Agent-as-Data-Analyst: A Surveycited by 16
  5. 2025Simulating the Real World: A Unified Survey of Multimodal Generative Modelscited by 15
  6. 2025Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generationcited by 14
  7. 2025Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generationcited by 13
  8. 2025Towards Scalable and Consistent 3D Editingcited by 10
  9. 2025Are We Ready for RL in Text-to-3D Generation? A Progressive Investigationcited by 10
  10. 2025CoRe3D: Collaborative Reasoning as a Foundation for 3D Intelligencecited by 10
  11. 2025MuMA: 3D PBR Texturing via Multi-Channel Multi-View Generation and Agentic Post-Processingcited by 8
  12. 20253D Object Manipulation in a Single Image using Generative Modelscited by 7
  13. 2025Video Perception Models for 3D Scene Synthesiscited by 7
  14. 2025Topology-Preserved Auto-regressive Mesh Generation in the Manner of Weaving Silkcited by 7
  15. 2025Abstract 3D Perception for Spatial Intelligence in Vision-Language Modelscited by 7
  16. 2025Sat2RealCity: Geometry-Aware and Appearance-Controllable 3D Urban Generation from Satellite Imagerycited by 7
  17. 2025NaTex: Seamless Texture Generation as Latent Color Diffusioncited by 7
  18. 2025Feedforward 3D Editing via Text-Steerable Image-to-3Dcited by 7
  19. 2026Reconstruction by Generation: 3D Multi-Object Scene Reconstruction from Sparse Observationscited by 7
  20. 2025GarmentCrafter: Progressive Novel View Synthesis for Single-View 3D Garment Reconstruction and Editingcited by 6
  21. 2025DiMeR: Disentangled Mesh Reconstruction Modelcited by 6
  22. 2025FreeMesh: Boosting Mesh Generation with Coordinates Mergingcited by 6
  23. 2025Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshescited by 6
  24. 2025GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherencecited by 6
  25. 2024Grid: Omni Visual Generationcited by 5
  26. 2025Flash Sculptor: Modular 3D Worlds from Objectscited by 5
  27. 2025ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesiscited by 5
  28. 2026SIMART: Decomposing Monolithic Meshes into Sim-ready Articulated Assets via MLLMcited by 5
  29. 2025MASH: Masked Anchored SpHerical Distances for 3D Shape Representation and Generationcited by 4
  30. 2026MorphAny3D: Unleashing the Power of Structured Latent in 3D Morphingcited by 4
  31. 2026VecSet-Edit: Unleashing Pre-trained LRM for Mesh Editing from Single Imagecited by 4
  32. 2026JAEGER: Joint 3D Audio-Visual Grounding and Reasoning in Simulated Physical Environmentscited by 4
  33. 2026AnimateAnyMesh++: A Flexible Feed-Forward Framework for High-Fidelity Text-Driven Mesh Animationcited by 4
  34. 2024Text-to-3D Generation by 2D Editingcited by 3
  35. 2025Few-step Flow for 3D Generation via Marginal-Data Transport Distillationcited by 3
  36. 2026Fast-SAM3D: 3Dfy Anything in Images but Fastercited by 3
  37. 2026OpenWorldLib: A Unified Codebase and Definition of Advanced World Modelscited by 3
  38. 2026ReplicateAnyScene: Zero-Shot Video-to-3D Composition via Textual-Visual-Spatial Alignmentcited by 3

50 most cited of 82 All 82 (JSON)

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  1. 2024ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
  2. 2023MVDream: Multi-view Diffusion for 3D Generation
  3. 2024Gen-3Diffusion: Realistic Image-to-3D Generation via 2D & 3D Diffusion Synergy
  4. 2024BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion
  5. 2024Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior
  6. 2023IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
  7. 2024Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion
  8. 2024Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation