A curated list of recent diffusion models for 3D generation.
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SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modeling (TripoSF) | arXiv 2025 | Paper Code |
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Ultra3D: Efficient and High-Fidelity 3D Generation with Part Attention | arXiv 2025 | Paper |
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Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling | arXiv 2025 | Paper |
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HierOctFusion: Multi-scale Octree-based 3D Shape Generation via Part-Whole-Hierarchy Message Passing | arXiv 2024 | Paper |
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TRELLIS: Structured 3D Latents for Scalable and Versatile 3D Generation | CVPR 2025 | Paper Code |
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OctFusion: Octree-based Diffusion Models for 3D Shape Generation | SGP 2025 | Paper Code |
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LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion | ICLR 2025 | Paper Code Project |
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XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies | CVPR 2024 | Paper Code |
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SplatSDF: Boosting Neural Implicit SDF via Gaussian Splatting Fusion | arXiv 2024 | Paper |
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MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model | arXiv 2024 | Paper |
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Mosaic-SDF for 3D Generative Models | arXiv 2024 | Paper |
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CraftsMan: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner | arXiv 2024 | Paper Code |
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GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction | NeurIPS 2024 | Paper |
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GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis | SIGGRAPH 2024 | Paper Code Project |
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SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field | CVPR 2024 | Paper |
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HSDF: Hybrid Sign and Distance Field for Neural Representation of Surfaces With Arbitrary Topologies | IEEE 2024 | Paper |
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3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models | ACM TOG 2023 | Paper Code |
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Locally Attentional SDF Diffusion for Controllable 3D Shape Generation | ACM TOG 2023 | Paper |
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Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions | ICCV 2023 | Paper Project |
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Constructive Solid Geometry on Neural Signed Distance Fields | ACM SIGGRAPH Asia 2023 | Paper Project |
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SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation | CVPR 2023 | Paper Code |
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SDF-Diffusion: Text-to-Shape via Voxelized Diffusion | CVPR 2023 | Paper |
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MeshDiffusion: Score-based Generative 3D Mesh Modeling | ICLR 2023 | Paper Code |
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SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation | SGP 2022 | Paper Code |
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Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation | SIGGRAPH Asia 2022 ACM TOG |
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AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation | CVPR 2022 | Paper |
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3DILG: Irregular Latent Grids for 3D Generative Modeling | NeurIPS 2022 | Paper Code Project |
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NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction | NeurIPS 2021 | Paper Code |
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SIREN: Implicit Neural Representations with Periodic Activation Functions | NeurIPS 2020 | Paper Code |
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DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation | CVPR 2019 | Paper Code |
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Neural Unsigned Distance Fields for Implicit Function Learning | NeurIPS 2020 | Paper |
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Convolutional Occupancy Networks | ECCV 2020 | Paper Code |
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IM-Net: Learning Implicit Fields for Generative Shape Modeling | CVPR 2019 | Paper Code |
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DiffusionGS: Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction | ICCV 2025 | Paper Code |
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WorldMirror: Universal 3D World Reconstruction with Any-Prior Prompting | arXiv 2025 | Paper |
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FlashWorld: High-quality 3D Scene Generation within Seconds | arXiv 2025 | Paper Code |
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VRSplat: Fast and Robust Gaussian Splatting for Virtual Reality | arXiv 2025 | Paper |
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Gaussian Splatting with Discretized SDF for Relightable Assets | arXiv 2025 | Paper |
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Enhancing 3D Gaussian Splatting Compression via Spatial Condition-based Prediction | arXiv 2025 | Paper |
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3D Gaussian Splatting as a New Era: A Survey | IEEE TVCG 2024 | Paper |
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WildGaussians: 3D Gaussian Splatting In the Wild | NeurIPS 2024 | Paper |
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Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting | NeurIPS 2024 | Paper |
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ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings | NeurIPS 2024 | Paper Code |
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DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction | NeurIPS 2024 | Paper Code |
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FreeSplat: Generalizable 3D Gaussian Splatting for Free-View Synthesis | NeurIPS 2024 | Paper Code |
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3D Gaussian Splatting as Markov Chain Monte Carlo | NeurIPS 2024 (Spotlight) | Paper |
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3iGS: Factorised Tensorial Illumination for 3D Gaussian Splatting | ECCV 2024 | Paper |
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HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting | ECCV 2024 | Paper |
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Gaussian Grouping: Segment and Edit Anything in 3D Scenes | ECCV 2024 | Paper Code |
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2D Gaussian Splatting for Geometrically Accurate Radiance Fields | SIGGRAPH 2024 | Paper Code |
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Recent Advances in 3D Gaussian Splatting | arXiv 2024 | Paper |
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COLMAP-Free 3D Gaussian Splatting | CVPR 2024 | Paper |
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Gaussian Splatting SLAM | CVPR 2024 (Best Demo) | Paper |
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Mip-Splatting: Alias-free 3D Gaussian Splatting | CVPR 2024 (Best Student Paper) | Paper Code |
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DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation | ICLR 2024 (Oral) | Paper Code |
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3D Gaussian Splatting for Real-Time Radiance Field Rendering | SIGGRAPH 2023 | Paper Code |
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A Survey on 3D Gaussian Splatting | arXiv 2024 | Paper |
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SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering | CVPR 2024 | Paper Code |
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VertexRegen: Mesh Generation with Continuous Level of Detail | arXiv 2025 | Paper Project |
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FastMesh: Efficient Artistic Mesh Generation via Component Decoupling | arXiv 2025 | Paper |
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LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models | arXiv 2024 | Paper Code Demo |
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FreeMesh: Boosting Mesh Generation with Coordinates Merging | ICML 2025 | Paper |
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Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning | arXiv 2025 | Paper |
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Scaling mesh generation via compressive tokenization | CVPR 2025 | Paper Project Code |
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iFlame: Interleaving Full and Linear Attention for Efficient Mesh Generation | arXiv 2025 | Paper Code |
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Mesh Silksong: Auto-Regressive Mesh Generation as Weaving Silk | arXiv 2025 | Paper |
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MeshPad: Interactive Sketch-Conditioned Artist-Designed Mesh Generation and Editing | arXiv 2025 | Paper Project |
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DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning | ICCV 2025 | Paper Project Code |
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EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation | ICLR 2025 | Paper Code |
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MeshArt: Generating Articulated Meshes with Structure-guided Transformers | CVPR 2025 | Paper Code |
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TreeMeshGPT: Topology-Aware Mesh Generation with Tree-Structured Graph Priors | CVPR 2025 | Paper |
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Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale | arXiv 2024 | Paper Project |
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MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization | ICCV 2025 | Paper Project Code |
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MeshXL: Neural Coordinate Field for Generative 3D Foundation Models | NeurIPS 2024 | Paper Code |
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SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes | SIGGRAPH Asia 2024 | Paper Project |
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PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance | ICLR 2025 | Paper Project Code |
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MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers | ICLR 2025 | Paper Project Code |
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MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers | CVPR 2024 | Paper Code |
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PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models | arXiv 2023 | Paper |
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PolyGen: An Autoregressive Generative Model of 3D Meshes | ICML 2020 | Paper Code |
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NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks | arXiv 2025 | Paper Code |