这是论文索引仓库,不是可运行工具,没有安装或运行命令;部分论文代码标注为 coming soon 或未公开,需自行确认可用性;引用计数依赖 Semantic Scholar 数据,存在刷新延迟
Awesome-Text-to-3D
yyeboah活跃维护收集整理文本生成 3D 与扩散生成 3D 方向的论文与资源清单,方便快速跟进文生 3D、图生 3D 和 NeRF 相关进展。
A growing curation of Text-to-3D, Diffusion-to-3D works.
README 里没有找到可直接复制的安装命令,请到 README 或官方文档查看安装方式。
README 未说明
Text-to-3D 与 Diffusion-to-3D 论文的精选索引,按任务分类并附引用与代码链接
收集整理文本生成 3D 与扩散生成 3D 方向的论文与资源清单,方便快速跟进文生 3D、图生 3D 和 NeRF 相关进展。
核心能力
- 按 X-to-3D、3D 编辑、Avatar、动态内容、世界模型分类整理论文
- 每条论文附 BibTeX 引用、项目主页与公开代码链接
- 提供引用关系图与引用计数,便于判断论文影响力
- 收录数据集、框架项目与教程视频等参考资源
容易踩的坑
暂无 release 数据(可能没有发版,或尚未同步)。
用户点评
登录用户的真实使用记录,可按版本和硬件筛选还没有人点评。第一个说出真实体验的人最有价值。
Awesome Text-to-3D

The first curated list of Text-to-3D and Diffusion-to-3D research, heavily inspired by awesome-NeRF.
This README is intended to work as a fast research index:
- grouped by task and content type
- linked to BibTeX, project pages, and code when available
- updated incrementally as new papers and resources appear
- Citation count measures distinct papers elsewhere in this index that Semantic Scholar reports as citing an entry (refreshed 2026-10-26; 553 distinct works, 558/558 citation-backed rows resolved).
Overview
- Core categories: X-to-3D, 3D Editing, Avatars, Dynamic Content, World Models
- Reference sections: Datasets, Frameworks & Projects, Tutorial Videos
- Link legend:
citationpoints to BibTeX,sitepoints to the project page,codepoints to the implementation when public
Navigation
- 📚 Papers
- 🔗 Citation graph
- 🧊 X-to-3D
- ✏️ 3D Editing, Decomposition & Stylization
- 🧍 Avatar Generation and Manupilation
- 🎞️ Dynamic Content Generation
- 🌍 World Models
- 💾 Datasets
- 🛠️ Frameworks & Projects
- 📺 Tutorial Videos
- ✅ TODO
Papers :scroll:
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Coarse3D: Controllable and Faithful Sparse Structure Generation for Image-to-3D, Gaige Wang et al., Arxiv 2026 | citation | site | code | ▲ citation count: unavailable
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Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction, Prakhar Kaushik et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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CityLift: Compositional 3D Urban Generation from a Single Image, Haoran Gong et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Easy-3Dfy: Object-Level Geometric Composition for Single-Image 3D Scene Construction, Ziang Zhang et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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PixGR: Pixel-Space Generative Decoding for Fast Feed-Forward 3D Reconstruction, Ranran Huang et al., Arxiv 2026 | citation | site | code (coming soon) | ▲ citation count: 0
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TriFold: Folding irregular 3D Gaussians into structured latents for 3D Scene Generation, Yun Wang et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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GenIA: Generative Reconstruction with Test-Time Input Alignment, Stefano Esposito et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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NeRFifyMesh: Optimizing Neural Radiance Fields from Textured Meshes for Robotics Scene Building, Nillan Nimal et al., IROS 2026 | citation | site | code | ▲ citation count: 0
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NAMVIS: Next-Scale Autoregressive Multi-View Image Synthesis, Ramil Khafizov et al., NeurIPS 2026 | citation | site | code | ▲ citation count: 0
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T3lescope: Arbitrary-Resolution High-Fidelity Generative Surface Reconstruction from Images, Atsuhiro Noguchi et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Feedforward Novel View Synthesis for Heterogeneous Cameras, Meng Wei et al., NeurIPS 2026 | citation | site | code | ▲ citation count: 0
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VCURF: Virtual Camera-based Uncertainty of Radiance Fields, Liyan Chen et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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EffGS: Efficient and High-Fidelity Gaussian Splatting, Changbai Li et al., Arxiv 2026 | citation | site | code (coming soon) | ▲ citation count: 0
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LEGO-Anything: Coding Agents for 3D Scene Reconstruction, Xirui Li et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Spackle: Completing Large View Single Image NVS with Adaptive Gaussians, Xuanzhi Liu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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M3GD: Multi-Modal Multi-View Geometric Diffusion for Camera--LiDAR Novel View Synthesis, Yang Zhou et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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OceanXL: Large-scale Underwater 3D Gaussian Splatting via Block Partitioning and Adaptive Pruning, Haoran Wang et al., SIGGRAPH Asia 2026 | citation | site | code | ▲ citation count: 0
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EMERGE: Resolution-Agnostic Point Cloud Generation with Equivariant Graph-Based Diffusion, Ilias Mitsouras et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Mira-Scene: Pixel-Aligned Layouts for Generative 3D Scene Reconstruction, Yang-Tian Sun et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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VoxelTTO: Voxel-Aligned Feed-Forward 3D Gaussian Splatting with Test-Time Optimization, Yibin Zhao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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PhGS: Post-Hoc Pruning and Refinement of Single-View Feed-Forward 3D Gaussian Reconstructions, Rinto Yagawa et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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IRIS: Implicit Rendering Matters for Pose-Free Novel View Synthesis, Wenyu Li et al., ACM MM 2026 | citation | site | code | ▲ citation count: 0
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3D Point Splatting for mmWave Radar Novel View Synthesis, Adnan Armouti et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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ReconPlusGen: Injecting Reconstruction Prior into Multi-view 3D Generation through Noise Inversion and Modulation, Jiarui Liu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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StreetDiff: Multi-view Street Scenes Generation via Cross-view Consistent Multi-view Stable Diffusion with Structure Prompts, Qi Zhang et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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View-Structured Conformal Prediction for 3D Gaussian Splatting, Junzheng Chu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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AnimalLift: Reconstructing Animatable 3D Animals from a Single Image by Learning Canonical Shape, Texture, and Fur Maps, Chunyi Sun et al., SIGGRAPH Asia 2026 | citation | site | code | ▲ citation count: 0
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FIRE3D: Feed-forward Interactive 3D Scene Reconstruction Within A Minute, Hongchi Xia et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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AVSplat: Dense-View Feed-Forward 3D Gaussian Splatting with Assist-View Preconditioning, Muyu Xu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Reflection-aware Generative Novel View Synthesis, GeonU Kim et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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Compact Neural Appearance Models for Efficient Gaussian Splatting, Florian Hahlbohm et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Zero-Shot Novel Depth Synthesis Using 3D Foundation Models Scene Representations, Denis M. Akola et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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DualDiff3D: Dual Structure-Appearance Diffusion Priors for Reliability-Enhanced 3D Gaussian Splatting, Qian Wang et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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GridFlow: Structured Latent Flow for Seamless City-Scale 3D Point Cloud Generation, Xinyu Wang et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Dynamic-Robust Photometric-Semantic Reconstruction for Open-Vocabulary 3D Scene Understanding, Boyu Cai et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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LightFuse: Relightable Interactive Gaussian Scene Reconstruction via Multi-Scan Fusion and 2D Gaussian Ray Tracing, Haonan Zhou et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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ReconSplat: Generalizable 3D Scene Reconstruction Beyond Observed Views, Giuseppe Stracquadanio et al., ECCV 2026 | citation | site | code | ▲ citation count: 1
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Cross-Platform Benchmark of Neural 3D Reconstruction for Autonomous Laboratory Robots, Yongho Kim et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Luce: Relightable Gaussians for 3D Asset Generation, Mayank Singh et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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SceneReGen: Generative Reconstruction of 3D Scenes from a Single Image, Zefan Tian et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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NeoWorld-Pro: Programming Interactive Scenes from Monocular Images for Embodied Simulation, Yumeng He et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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ExMesh++: From Multi-View Images to Relightable UV-PBR Mesh Assets via Topology-Adaptive Reconstruction and Decomposition, Chuanjin Fan et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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FixAnything: 3D-Consistent Rendering Refinement via Video Generative Priors, Khiem Vuong et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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TopoSurfel: Closing the Loop between Gaussian Surfels and Meshes for Surface Reconstruction, Chuanjin Fan et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Block3D: Efficient Text-to-3D Generation via Block-Wise Diffusion, Bowen Cui et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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MultiCube: Compositional 3D Generation With Part-Level Semantic and Spatial Control, Ava Pun et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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View-Adaptive Renderer for View-Consistent 2D-to-3D Generation, U-Chae Jun et al., Multimedia Systems 2026 | citation | site | code | ▲ citation count: 0
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FlexSplat: Flexible Feed-Forward 3D Gaussian Splatting without Point Cloud Correspondence, Amir Sabbaghziarani et al., BMVC 2026 | citation | site | code | ▲ citation count: 0
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Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding, Lucy Lin et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing, Junliang Ye et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Meshy T2: Fast Native Mesh Generation with Flow Matching, Jiale Xu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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Single Image to Textured 3D Object Generation in Frequency Domain: From Theory to Pipeline, Qisen Wang et al., IJCV 2026 | citation | site | code | ▲ citation count: 0
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Event3R: Asynchronous-to-Global 3D Reconstruction from Event Camera via Spatial-Temporal Feature Aggregation, Jian Huang et al., IROS 2026 | citation | site | code | ▲ citation count: 0
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G$^2$SR: Geometric Methods for Fast and Memory-Efficient Gaussian-based Surface Reconstruction, Dasong Gao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Immediate 3D Gaussian Splat Reconstruction of Unordered Input with Global Consistency, Andreas Meuleman et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos, Ziren Gong et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation, Eungjune Shim et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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TreeSRNF: Square-Root Normal Fields for Generative Modelling of the Geometric and Structural Variability in Tree-like 3D Objects, Tahmina Khanam et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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ThinkBLOX: 3D Indoor Scene Generation with Progressive Reasoning, Yuan Xiao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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UniPhysGen: Unified Physical Grounding for Simulation-Ready 3D Assets, Xian Li et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Glob3R: Global Structure-from-Motion with 3D Foundation Models, Junyuan Deng et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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StereoSplat+: Feed-Forward Stereo Gaussian Splatting with Diffusion-Assisted Progressive Inference, Zihua Liu et al., IROS 2026 | citation | site | code | ▲ citation count: 0
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Nexus: Native Mesh Generation with Diffusion, Hanxiao Wang et al., Arxiv 2026 | citation | site | code | ▲ citation count: 2
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PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation, Duy Cao et al., ECCV 2026 | citation | site | code | ▲ citation count: 0
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Printing the Underdetermined: Materializing Multi-solutionness in Figurative Paintings, Yutao Ming et al., PACMCGIT 2026 | citation | site | code | ▲ citation count: 0
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UnfoldArt: Zero-Shot Recovery of Full Articulated 3D Objects from Text or Image, Mohamed El Amine Boudjoghra et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views, Mijin Yoo et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Home3D 1.0: A High-Fidelity Image-to-3D Asset Generation System for Interior Design, Yiyun Fei et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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PRISM: Feed-Forward Single-Image 3D Reconstruction via Geometric Warp-Residual Modeling, Zhijie Zheng et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Thinking in Blender: Staged Executable Inverse Graphics with Vision-Language Models, Guangzhao He et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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VolFill: Single-View Amodal 3D Scene Reconstruction with Volumetric Flow Matching, Tuan Duc Ngo et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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S2MDF: A Plug-And-Play Layer for Intersection-Free Multi-Object Signed Distance Fields, Deniz Sayin Mercadier et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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REST3D: Reconstructing Physically Stable 3D Scenes from a Single Image, Xiaoxuan Ma et al., Arxiv 2026 | citation | site | code | ▲ citation count: 2
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GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction, Katharina Schmid et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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ROAR-3D: Routing Arbitrary Views for High-Fidelity 3D Generation, Hanxiao Sun et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects, Ziang Cao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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Articraft: An Agentic System for Scalable Articulated 3D Asset Generation, Matt Zhou et al., Arxiv 2026 | citation | site | code | ▲ citation count: 4
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DecoRec: Decomposed 3D Scene Reconstruction from Single-View Images via Object-Level Diffusion, Yuhan Ping et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generation, Baicheng Li et al., Arxiv 2026 | citation | site | code | ▲ citation count: 3
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RelaxFlow: Text-Driven Amodal 3D Generation, Jiayin Zhu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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SceneReVis: A Self-Reflective Vision-Grounded Framework for 3D Indoor Scene Synthesis via Multi-turn RL, Yang Zhao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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RoamScene3D: Immersive Text-to-3D Scene Generation via Adaptive Object-aware Roaming, Jisheng Chu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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GeoDiff3D: Self-Supervised 3D Scene Generation with Geometry-Constrained 2D Diffusion Guidance, Haozhi Zhu et al., Arxiv 2026 | citation | site | code | ▲ citation count: 0
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AnchoredDream: Zero-Shot 360{\deg} Indoor Scene Generation from a Single View via Geometric Grounding, Runmao Yao et al., Arxiv 2026 | citation | site | code | ▲ citation count: 1
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Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning, Shaofeng Yin et al., Arxiv 2026 | citation | site | code | ▲ citation count: 6
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UltraShape 1.0: High-Fidelity 3D Shape Generation via Scalable Geometric Refinement, Tanghui Jia et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Native and Compact Structured Latents for 3D Generation, Jianfeng Xiang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 30
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Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation, Yiwen Tang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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MeshRipple: Structured Autoregressive Generation of Artist-Meshes, Junkai Lin et al., Arxiv 2025 | citation | site | code | ▲ citation count: 1
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SAM 3D: 3Dfy Anything in Images, SAM 3D Team et al., Arxiv 2025 | citation | site | code | ▲ citation count: 19
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FreeArt3D: Training-Free Articulated Object Generation using 3D Diffusion, Chuhao Chen et al., Arxiv 2025 | citation | site | code | ▲ citation count: 5
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Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets, Jiashi Feng et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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Blended Point Cloud Diffusion for Localized Text-guided Shape Editing}, Etai Sella et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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FlashWorld: High-quality 3D Scene Generation within Seconds, Jinyang Li et al., Arxiv 2025 | citation | site | code | ▲ citation count: 5
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Wonder3D++: Cross-Domain Diffusion for High-Fidelity 3D Generation From a Single Image, Yang, Yuxiao et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation, Sherwin Bahmani et al., Arxiv 2025 | citation | site | code | ▲ citation count: 6
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Dream3DAvatar: Text-Controlled 3D Avatar Reconstruction from a Single Image, Gaofeng Liu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation, Biwen Lei et al., Arxiv 2025 | citation | site | code | ▲ citation count: 4
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MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds, Bingquan Dai et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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LL3M: Large Language 3D Modelers, Sining Lu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 2
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BrepDiff: Single-stage B-rep Diffusion Model, Mingi Lee et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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PhysX-3D: Physical-Grounded 3D Asset Generation, Giang Cao et al., Arxiv 2025 | citation | site | code | ▲ citation count: 7
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LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS, Wanhua Li et al., Arxiv 2025 | citation | site | code | ▲ citation count: 1
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LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion, Fangfu Liu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Shape-for-Motion: Precise and Consistent Video Editing with 3D Proxy, Yuhao Liu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View Diffusion, Yansong Qu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 3
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Consistent Zero-shot 3D Texture Synthesis Using Geometry-aware Diffusion and Temporal Video Models, Donggoo Kang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence, Xinjie Wang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 3
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Convolutional Neural Shading for High-Quality 3D Reconstruction from Multi-View Images, Juheon Hwang et al., Multimedia Systems 2025 | citation | site | code | ▲ citation count: 0
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ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding, Junliang Ye et al., Arxiv 2023 | citation | site | code | ▲ citation count: 7
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Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention, Shuang Wu et al., Arxiv 2025 | citation | site | code | ▲ citation count: 15
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Constructing a 3D Town from a Single Image, Kaizhi Zheng et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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NeuSEditor: From Multi-View Images to Text-Guided Neural Surface Edits, Nail Ibrahimli et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets, Weiyu Li et al., Arxiv 2025 | citation | site | code | ▲ citation count: 9
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Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting, Feng Yang et al., Arxiv 2025 | citation | site | code | ▲ citation count: 1
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Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis, Michal Geyer et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation, Michal Geyer et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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TesserAct: Learning 4D Embodied World Models, Haoyu Zhen et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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Art3D: Training-Free 3D Generation from Flat-Colored Illustration, Xiaoyan Cong et al., Arxiv 2025 | citation | site | code | ▲ citation count: 0
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[Generating 360° Video is What You Need For a 3D Scene](https://arxiv.org/abs/2504.02