Awesome-Text-to-3D
https://github.com/StellarCheng/Awesome-Text-to-3D
Last synced: 2 days ago
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2024
- TripoSR: Fast 3D Object Reconstruction from a Single Image - AI-Research/TripoSR)
- TripoSR: Fast 3D Object Reconstruction from a Single Image - AI-Research/TripoSR)
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Before 2022
- Zero-Shot Text-Guided Object Generation with Dream Fields - research/google-research/tree/master/dreamfields)
- CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation - Forge)
- CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
- Text2Mesh: Text-Driven Neural Stylization for Meshes
- Clip-Mesh: Generating textured meshes from text using pretrained image-text models - Mesh)
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2022
- DreamFusion: Text-to-3D using 2D Diffusion - project/threestudio)
- Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation - jacobian-chaining) [github](https://github.com/pals-ttic/sjc/)
- Magic3D: High-Resolution Text-to-3D Content Creation - Hsuan Lin, et al ., CVPR 2023 | [project page](https://research.nvidia.com/labs/dir/magic3d/) [github](https://github.com/threestudio-project/threestudio)
- Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures - nerf)
- TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision
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2023
- Shap·E: Generating Conditional 3D Implicit Functions - e)
- ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation - project/threestudio)
- Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions - nerf2nerf)
- Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation - Lab-SCUT/Fantasia3D)
- ATT3D: Amortized Text-to-3D Object Synthesis - ai/ATT3D/)
- DreamEditor: Text-Driven 3D Scene Editing with Neural Fields
- Vox-E Text-guided Voxel Editing of 3D Objects - VAILab/Vox-E)
- SKED: Sketch-guided Text-based 3D Editing - paper.github.io/)
- TextMesh: Generation of Realistic 3D Meshes From Text Prompts - project/threestudio)
- Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond. - Neg/Perp-Neg-stablediffusion)
- IT3D: Improved Text-to-3D Generation with Explicit View Synthesis. - text-to-3D)
- MVDREAM: MULTI-VIEW DIFFUSION FOR 3D GENERATION - dream.github.io/)
- EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior
- TextMesh: Generation of Realistic 3D Meshes From Text Prompts - project/threestudio)
- MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR
- DREAMGAUSSIAN: GENERATIVE GAUSSIAN SPLATTING FOR EFFICIENT 3D CONTENT CREATION
- TEXT-TO-3D USING GAUSSIAN SPLATTING
- Dreameditor: Text-driven 3d scene editing with neural fields
- SWEETDREAMER: ALIGNING GEOMETRIC PRIORS IN 2D DIFFUSION FOR CONSISTENT TEXT-TO-3D
- ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF
- T3Bench: Benchmarking Current Progress in Text-to-3D Generation
- IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts
- Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
- ENHANCING HIGH-RESOLUTION 3D GENERATION THROUGH PIXEL-WISE GRADIENT CLIPPING - zvg/PGC-3D)
- TAMING MODE COLLAPSE IN SCORE DISTILLATION FOR TEXT-TO-3D GENERATION
- STEINDREAMER: VARIANCE REDUCTION FOR TEXTTO-3D SCORE DISTILLATION VIA STEIN IDENTITY
- TEXT-TO-3D WITH CLASSIFIER SCORE DISTILLATION - andy.github.io/Classifier-Score-Distillation/)
- Noise-Free Score Distillation
- TEXT-TO-3D GENERATION WITH BIDIRECTIONAL DIFFUSION USING BOTH 2D AND 3D PRIORS
- LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching - Research/LucidDreamer)
- RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D
- Learn to Optimize Denoising Scores for 3D Generation - A Unified and Improved Diffusion Prior on NeRF and 3D Gaussian Splatting
- GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
- Text2Immersion: Generative Immersive Scene with 3D Gaussians - ouyang.github.io/text2immersion/index.html)
- StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D
- DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
- HyperFields:Towards Zero-Shot Generation of NeRFs from Text
- Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
- NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views - Group/NeuralLift-360)
- Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior - It-3D)
- Zero-1-to-3: Zero-shot One Image to 3D Object - columbia/zero123)
- SyncDreamer: Generating Multiview-consistent Images from a Single-view Image - pal/SyncDreamer)
- MVDream: Multi-view Diffusion for 3D Generation - Dream/MVDream)
- Consistent123: One Image to Highly Consistent 3D Asset Using Case-Aware Diffusion Priors
- HiFi-123: Towards High-fidelity One Image to 3D Content Generation - 123)
- ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion
- DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior - ai/DreamCraft3D)
- Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model - AI-3D/zero123plus)
- Wonder3D: Single Image to 3D using Cross-Domain Diffusion
- ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation - dream.github.io)
- One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion - AI-3D/One2345plus) [Project Page](https://sudo-ai-3d.github.io/One2345plus_page/)
- Free3D: Consistent Novel View Synthesis without 3D Representation
- DMV3D:Denoising Multi-View Diffusion using 3D Large Reconstruction Model
- PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction - lrm/)
- Instant3D : Instant Text-to-3D Generation
- LRM: Large Reconstruction Model for Single Image to 3D
- MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers - gpt/)
- CAD: Photorealistic 3D Generation via Adversarial Distillation
- Collaborative Score Distillation for Consistent Visual Synthesis - kim-cv.github.io/CSD/index.html)
- Nerdi: Single-view nerf synthesis with language-guided diffusion as general image priors
- RealFusion 360◦ Reconstruction of Any Object from a Single Image - Kyriazi, et al., ICCV 2023 | [github](https://github.com/lukemelas/realfusion)
- TextMesh: Generation of Realistic 3D Meshes From Text Prompts - project/threestudio)
- MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR
- SWEETDREAMER: ALIGNING GEOMETRIC PRIORS IN 2D DIFFUSION FOR CONSISTENT TEXT-TO-3D
- DreamEditor: Text-Driven 3D Scene Editing with Neural Fields
- MVDREAM: MULTI-VIEW DIFFUSION FOR 3D GENERATION - dream.github.io/)
- EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior
- Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models
- ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF
- T3Bench: Benchmarking Current Progress in Text-to-3D Generation
- IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts
- Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
- Noise-Free Score Distillation
- GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise
- ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion
- Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model - AI-3D/zero123plus)
- Wonder3D: Single Image to 3D using Cross-Domain Diffusion
- Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting
- CAD: Photorealistic 3D Generation via Adversarial Distillation
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