mlsanityData to 7 Oct 2026

Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

arXiv 2501.12202 ↗First posted 21 Jan 2025cs.CVcited by 342

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

Abstract (arXiv)

We present Hunyuan3D 2.0, an advanced large-scale 3D synthesis system for generating high-resolution textured 3D assets. This system includes two foundation components: a large-scale shape generation model -- Hunyuan3D-DiT, and a large-scale texture synthesis model -- Hunyuan3D-Paint. The shape generative model, built on a scalable flow-based diffusion transformer, aims to create geometry that properly aligns with a given condition image, laying a solid foundation for downstream applications. The texture synthesis model, benefiting from strong geometric and diffusion priors, produces high-resolution and vibrant texture maps for either generated or hand-crafted meshes. Furthermore, we build Hunyuan3D-Studio -- a versatile, user-friendly production platform that simplifies the re-creation process of 3D assets. It allows both professional and amateur users to manipulate or even animate their meshes efficiently. We systematically evaluate our models, showing that Hunyuan3D 2.0 outperforms previous state-of-the-art models, including the open-source models and closed-source models in geometry details, condition alignment, texture quality, and etc. Hunyuan3D 2.0 is publicly released in order to fill the gaps in the open-source 3D community for large-scale foundation generative models. The code and pre-trained weights of our models are available at: https://github.com/Tencent/Hunyuan3D-2

Key facts. Cited by 342 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 99 of its 120 references that are in the map. First posted on arXiv 21 Jan 2025.

Builds on

99 of 120 references.

Closest ancestors · 22

Same direction, newest first

  1. 2024Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders23 Dec
  2. 2024Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Seconds10 Dec
  3. 2024Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation4 Nov
  4. 2024GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation27 Sep
  5. 2024FlexiTex: Enhancing Texture Generation via Visual Guidance19 Sep
  6. 2024VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing5 Jul
  7. 2024CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets30 May
  8. 2024EASI-Tex: Edge-Aware Mesh Texturing from Single Image27 May
  9. 2024Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer23 May
  10. 2024TexPainter: Generative Mesh Texturing with Multi-view Consistency17 May
  11. 2024MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction20 Feb
  12. 2023Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models21 Dec
10 more
  1. 2023ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation2 Dec
  2. 2023Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model23 Oct
  3. 2023Wonder3D: Single Image to 3D using Cross-Domain Diffusion23 Oct
  4. 2023MVDream: Multi-view Diffusion for 3D Generation31 Aug
  5. 2023Text2Tex: Text-driven Texture Synthesis via Diffusion Models20 Mar
  6. 2023Zero-1-to-3: Zero-shot One Image to 3D Object20 Mar
  7. 2023TEXTure: Text-Guided Texturing of 3D Shapes3 Feb
  8. 20233DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models26 Jan
  9. 2022Magic3D: High-Resolution Text-to-3D Content Creation18 Nov
  10. 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep

Other references · 77

  1. 2017Attention Is All You Needcited by 59,932
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  3. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  4. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  5. 2024The Llama 3 Herd of Modelscited by 14,192
  6. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  7. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  8. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  9. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  10. 2022Scalable Diffusion Models with Transformerscited by 5,931
  11. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  12. 2022Flow Matching for Generative Modelingcited by 5,426
38 more
  1. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
  2. 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,094
  3. 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 3,550
  4. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  5. 2015ShapeNet: An Information-Rich 3D Model Repositorycited by 2,880
  6. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,591
  7. 2023InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Taskscited by 2,534
  8. 2024HunyuanVideo: A Systematic Framework For Large Video Generative Modelscited by 1,597
  9. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,522
  10. 2023IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Modelscited by 1,439
  11. 2019Normalizing Flows for Probabilistic Modeling and Inferencecited by 1,315
  12. 2018ESRGAN: Enhanced Super-Resolution Generative Adversarial Networkscited by 1,250
  13. 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,204
  14. 2018Learning Implicit Fields for Generative Shape Modelingcited by 1,060
  15. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 837
  16. 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 834
  17. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 767
  18. 2020Convolutional Occupancy Networkscited by 760
  19. 2024Structured 3D Latents for Scalable and Versatile 3D Generationcited by 742
  20. 2024DeepSeek LLM: Scaling Open-Source Language Models with Longtermismcited by 621
  21. 2016Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modelingcited by 558
  22. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
  23. 2022GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Imagescited by 446
  24. 20203D-FRONT: 3D Furnished Rooms with layOuts and semaNTicscited by 375
  25. 2021ABO: Dataset and Benchmarks for Real-World 3D Object Understandingcited by 360
  26. 2023Common Diffusion Noise Schedules and Sample Steps are Flawedcited by 308
  27. 2023Rethinking FID: Towards a Better Evaluation Metric for Image Generationcited by 303
  28. 2024Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understandingcited by 294
  29. 2022SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generationcited by 287
  30. 2022ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understandingcited by 262
  31. 2021CLIP-Forge: Towards Zero-Shot Text-to-Shape Generationcited by 254
  32. 2023Uni3D: Exploring Unified 3D Representation at Scalecited by 231
  33. 2023Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representationcited by 225
  34. 2023MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusioncited by 210
  35. 2022AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generationcited by 208
  36. 2023XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchiescited by 183
  37. 2016Thingi10K: A Dataset of 10,000 3D-Printing Modelscited by 182
  38. 2019Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesiscited by 161

50 most cited of 77 All 77 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 144; 2026: 198.

342 papers.

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  1. 2025Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Materialcited by 157
  2. 2025Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Detailscited by 120
  3. 2025Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attentioncited by 103
  4. 2025Hi3DGen: High-fidelity 3D Geometry Generation from Images via Normal Bridgingcited by 95
  5. 2025Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generationcited by 93
  6. 2025Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assetscited by 85
  7. 2025Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modelingcited by 84
  8. 2025PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformerscited by 78
  9. 2025GigaWorld-0: World Models as Data Engine to Empower Embodied AIcited by 60
  10. 2025Efficient Part-level 3D Object Generation via Dual Volume Packingcited by 47
  11. 2025X-Part: high fidelity and structure coherent shape decompositioncited by 42
  12. 2025TexVerse: A Universe of 3D Objects with High-Resolution Texturescited by 41
38 more
  1. 2025LATTICE: Democratize High-Fidelity 3D Generation at Scalecited by 41
  2. 2025Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Cachingcited by 39
  3. 2025SynCity: Training-Free Generation of 3D Worldscited by 30
  4. 2025ReconViaGen: Towards Accurate Multi-view 3D Object Reconstruction via Generationcited by 30
  5. 2025NANO3D: A Training-Free Approach for Efficient 3D Editing Without Maskscited by 29
  6. 2025MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusioncited by 28
  7. 2025Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoningcited by 27
  8. 2025Unleashing Vecset Diffusion Model for Fast Shape Generationcited by 25
  9. 2025DreamArt: Generating Interactable Articulated Objects from a Single Imagecited by 25
  10. 2025DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundnesscited by 24
  11. 2025Generating Physically Stable and Buildable Brick Structures from Textcited by 23
  12. 2025UniTEX: Universal High Fidelity Generative Texturing for 3D Shapescited by 23
  13. 2025FreeArt3D: Training-Free Articulated Object Generation using 3D Diffusioncited by 22
  14. 2026Orient Anything V2: Unifying Orientation and Rotation Understandingcited by 22
  15. 2025Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuningcited by 21
  16. 2025RomanTex: Decoupling 3D-aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesiscited by 20
  17. 2025Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assetscited by 20
  18. 2025UniLat3D: Geometry-Appearance Unified Latents for Single-Stage 3D Generationcited by 20
  19. 2025Particulate: Feed-Forward 3D Object Articulationcited by 20
  20. 2025Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assetscited by 19
  21. 2026ShapeR: Robust Conditional 3D Shape Generation from Casual Capturescited by 19
  22. 2025HiScene: Creating Hierarchical 3D Scenes with Isometric View Generationcited by 18
  23. 2025WorldGen: From Text to Traversable and Interactive 3D Worldscited by 18
  24. 2025AniMaker: Multi-Agent Animated Storytelling with MCTS-Driven Clip Generationcited by 17
  25. 2025FullPart: Generating each 3D Part at Full Resolutioncited by 17
  26. 2025UltraShape 1.0: High-Fidelity 3D Shape Generation via Scalable Geometric Refinementcited by 16
  27. 2026MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generationcited by 16
  28. 2025Play to Generalize: Learning to Reason Through Game Playcited by 15
  29. 2025SceneMaker: Open-set 3D Scene Generation with Decoupled De-occlusion and Pose Estimation Modelcited by 15
  30. 2026Motion 3-to-4: 3D Motion Reconstruction for 4D Synthesiscited by 15
  31. 2025Cube: A Roblox View of 3D Intelligencecited by 14
  32. 2025ComfyGPT: A Self-Optimizing Multi-Agent System for Comprehensive ComfyUI Workflow Generationcited by 14
  33. 2025Hierarchical Neural Semantic Representation for 3D Semantic Correspondencecited by 14
  34. 2025Orientation Matters: Making 3D Generative Models Orientation-Alignedcited by 13
  35. 2025Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generationcited by 13
  36. 2025Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenizationcited by 12
  37. 2025LARM: A Large Articulated-Object Reconstruction Modelcited by 12
  38. 2025QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Modelscited by 11

50 most cited of 342 All 342 (JSON)

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  2. 2025Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation
  3. 2025CaPa: Carve-n-Paint Synthesis for Efficient 4K Textured Mesh Generation
  4. 2023DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
  5. 20243DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion
  6. 2025DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Texture Generation on 3D Meshes
  7. 2023One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
  8. 2023Texture Generation on 3D Meshes with Point-UV Diffusion