awesome-3d-aigc

A curated list of papers and open-source resources focused on 3D AIGC.

348

GitHub Stars

Curated Resources

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"Show me 8. advances in neural 3d mesh texturing: a survey [arxiv 2026.06] resources from awesome-3d-aigc"

📄 Paper8. Advances in Neural 3D Mesh Texturing: A Survey [arxiv 2026.06]
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📄 Paper6. A Survey on Deep Generative 3D-aware Image Synthesis [ACM Computing Surveys 2023.11]
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📄 Paper2. Deep Generative Models on 3D Representations: A Survey [arxiv 2023.10]
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📄 Paper4. ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model [NeurIPS 2022]
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📄 Paper5. Magic3D: High-Resolution Text-to-3D Content Creation [CVPR 2023]
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📄 Paper6. Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models [CVPR 2023]
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📄 Paper7. CLIP-Mesh: Generating textured meshes from text using pretrained image-text models [SIGGRAPH ASIA 2022]
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📄 Paper8. Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation [CVPR 2023]
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📄 Paper9. Dream Fields: Zero-Shot Text-Guided Object Generation with Dream Fields [CVPR 2022 and AI4CC 2022 (Best Poster)]
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📄 Paper1. Zero-1-to-3: Zero-shot One Image to 3D Object [ICCV 2023]
🌐 Project Page💻 Code🤗 Hugging Face
📄 Paper2. Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model [arxiv 2023.10]
🌐 Project Page💻 Code🤗 Hugging Face
📄 Paper3. One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization [arxiv 2023.06]
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📄 Paper4. One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion [arxiv 2023.11]
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📄 Paper5. TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion [ICLR 2024]
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📄 Paper6. Wonder3d: Single Image to 3D using Cross-Domain Diffusion [arxiv 2023.10]
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📄 Paper1. From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations [arxiv 2024.01]
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📄 Paper1. DreamEditor: Text-Driven 3D Scene Editing with Neural Fields [arxiv 2023.06]
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📄 Paper2. IDE-3D: Interactive Disentangled Editing For High-Resolution 3D-aware Portrait Synthesis [arxiv 2022.05]
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📄 Paper3. DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images [ICLR 2023]
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📄 Paper4. Image Sculpting: Precise Object Editing with 3D Geometry Control [arxiv 2024.01]
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📄 Paper5. Code for SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
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📄 Paper6. SIGNeRF: Scene Integrated Generation for Neural Radiance Fields
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📄 Paper1. AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation [arxiv 2023.06]
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📄 Paper2. SEEAvatar: Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance [arxiv 2023.12]
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📄 Paper3. Text and Image Guided 3D Avatar Generation and Manipulation [arxiv 2023.08]
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📄 Paper7. DreamHuman: Animatable 3D Avatars from Text [NeurIPS 2023]
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📄 Paper8. Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction [NeurIPS 2023]
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📄 Paper9. PV3D: A 3D Generative Model for Portrait Video Generation
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Showing a sample of 97 resources. View the full list on GitHub →