awesome-3d-diffusion
A collection of papers on diffusion models for 3D generation.
https://github.com/cwchenwang/awesome-3d-diffusion
Last synced: 18 days ago
JSON representation
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2D Diffusion with Pretraining
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Text-to-3D Object Generation
- DreamCouple: Exploring High Quality Text-to-3D Generation Via Rectified Flow
- DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior
- PlacidDreamer: Advancing Harmony in Text-to-3D Generation
- Vista3D: Unravel the 3D Darkside of a Single Image
- SceneDreamer360: Text-Driven 3D-Consistent Scene Generation with Panoramic Gaussian Splatting
- DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation
- DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
- Text-to-3D with Classifier Score Distillation
- Instant3D: Instant Text-to-3D Generation
- HyperFields: Towards Zero-Shot Generation of NeRFs from Text
- DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation
- Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
- GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors
- CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting
- LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
- StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D
- DreamComposer: Controllable 3D Object Generation via Multi-View Conditions
- GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs
- X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation
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Texturing
- TEXTure: Text-Guided Texturing of 3D Shapes
- Text2Tex: Text-driven Texture Synthesis via Diffusion Models
- EucliDreamer: Fast and High-Quality Texturing for 3D Models with Stable Diffusion Depth
- TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion
- MaPa: Text-driven Photorealistic Material Painting for 3D Shapes
- DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion Models
- TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling
- MatFuse: Controllable Material Generation with Diffusion Models
- StableMaterials: Enhancing Diversity in Material Generation via Semi-Supervised Learning
- ControlMat: A Controlled Generative Approach to Material Capture
- Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models
- CasTex: Cascaded Text-to-Texture Synthesis via Explicit Texture Maps and Physically-Based Shading
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Diffusion for Motion
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Human Motion
- EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Human Motion Generation
- Executing your Commands via Motion Diffusion in Latent Space
- MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
- OmniControl: Control Any Joint at Any Time for Human Motion Generation
- MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation
- RoHM: Robust Human Motion Reconstruction via Diffusion
- TLControl: Trajectory and Language Control for Human Motion Synthesis
- DiffusionPhase: Motion Diffusion in Frequency Domain
- InterControl: Generate Human Motion Interactions by Controlling Every Joint
- AAMDM: Accelerated Auto-regressive Motion Diffusion Model
- ReMoS: Reactive 3D Motion Synthesis for Two-Person Interactions
- HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models
- Controllable Motion Diffusion Model
- MAS: Multi-view Ancestral Sampling for 3D motion generation using 2D diffusion
- CG-HOI: Contact-Guided 3D Human-Object Interaction Generation
- A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis
- Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models
- Guided Motion Diffusion for Controllable Human Motion Synthesis
- Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic Models
- PhysDiff: Physics-Guided Human Motion Diffusion Model
- Priority-Centric Human Motion Generation in Discrete Latent Space
- ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
- Flame: Free-form language-based motion synthesis & editing
- Object Motion Guided Human Motion Synthesis
- Controllable Group Choreography using Contrastive Diffusion
- Listen, denoise, action! Audio-driven motion synthesis with diffusion models
- GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents
- Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation
- MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
- Single Motion Diffusion
- Human Motion Diffusion as a Generative Prior
- DNO: Optimizing Diffusion Noise Can Serve As Universal Motion Priors
- MDM: Human Motion Diffusion Model
- SMooDi: Stylized Motion Diffusion Model
- RoHM: Robust Human Motion Reconstruction via Diffusion
- CG-HOI: Contact-Guided 3D Human-Object Interaction Generation
- A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis
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Diffusion in 3D Space
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3D Gaussians
- GVGEN: Text-to-3D Generation with Volumetric Representation
- GaussianCube: Structuring Gaussian Splatting using Optimal Transport for 3D Generative Modeling
- Atlas Gaussians Diffusion for 3D Generation with Infinite Number of Points
- DiffusionGS: Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction
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Explicit Representation
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
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Implicit Representation
- Learning A Diffusion Prior For Nerfs
- Tetrahedral Diffusion Models for 3D Shape Generation
- MeshDiffusion: Score-based Generative 3D Mesh Modeling
- Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
- DiffRF: Rendering-Guided 3D Radiance Field Diffusion
- Locally Attentional SDF Diffusion for Controllable 3D Shape Generation
- DiffComplete: Diffusion-based Generative 3D Shape Completion
- Surf-D: High-Quality Surface Generation for Arbitrary Topologies using Diffusion Models
- Neural Wavelet-domain Diffusion for 3D Shape Generation
- DiffRoom: Diffusion-based High-Quality 3D Room Reconstruction and Generation
- HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
- Locally Attentional SDF Diffusion for Controllable 3D Shape Generation
- Learning A Diffusion Prior For Nerfs
- DiffRF: Rendering-Guided 3D Radiance Field Diffusion
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Latent Representation
- GAUDI: A Neural Architect for Immersive 3D Scene Generation
- LION: Latent Point Diffusion Models for 3D Shape Generation
- 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
- Shap-E: Generating Conditional 3D Implicit Functions
- StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
- LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation
- XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
- Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
- 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models
- AutoDecoding Latent 3D Diffusion Models
- GAUDI: A Neural Architect for Immersive 3D Scene Generation
- LION: Latent Point Diffusion Models for 3D Shape Generation
- GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation
- Structured 3D Latents for Scalable and Versatile 3D Generation
- 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
- Shap-E: Generating Conditional 3D Implicit Functions
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Point Cloud, Meshs, Volumes
- Diffusion Probabilistic Models for 3D Point Cloud Generation
- DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion
- Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation
- DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
- MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers
- ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model
- VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder
- SPiC·E: Structural Priors in 3D Diffusion Models using Cross-Entity Attention
- 3d shape generation and completion through point-voxel diffusion
- Point-E: A System for Generating 3D Point Clouds from Complex Prompts
- PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models
- Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- Diffusion Probabilistic Models for 3D Point Cloud Generation
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
- A Diffusion-ReFinement Model for Sketch-to-Point Modeling
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Triplane
- 3D Neural Field Generation using Triplane Diffusion
- DiffusionSDF: Conditional Generative Modeling of Signed Distance Functions
- Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
- 3DGen: Triplane Latent Diffusion for Textured Mesh Generation
- Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
- Learning Controllable 3D Diffusion Models from Single-view Images
- Compress3D: a Compressed Latent Space for 3D Generation from a Single Image
- Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion
- Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
- Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
- 3D Neural Field Generation using Triplane Diffusion
- Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
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Novel Representations
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Latent Representation
- X-Ray: A Sequential 3D Representation for Generation
- Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation
- 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion
- An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion
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Programming Languages
Categories
Sub Categories
Text-to-3D Object Generation
64
Point Cloud, Meshs, Volumes
60
Human Motion
37
Multi-view Diffusion
37
Compositional or Scene Generation
28
3D Editing
26
Human and Animal
22
Image-to-3D
21
Explicit Representation
20
Latent Representation
20
3D Objects
17
Implicit Representation
14
Texturing
12
Triplane
12
3D Gaussians
4
3D Scenes
4