Research map / Image generation / Text-to-image diffusion
Magic3D: High-Resolution Text-to-3D Content Creation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use coarse-to-fine optimization with hash-grid neural fields followed by a high-resolution textured mesh | Magic3D text-to-3D synthesis · 397 DreamFusion prompts | preference: more realistic and detailed: 61.7% | Helped |
| use coarse-to-fine optimization with hash-grid neural fields followed by a high-resolution textured mesh | Magic3D text-to-3D synthesis · Text-to-3D synthesis | runtime: 1.5 hours -> 40 minutes | Helped |
| use high-resolution latent diffusion supervision in the fine stage | Magic3D · Text-to-3D synthesis | image supervision resolution: 64×64 -> 512×512 | Helped |
| add the fine stage after coarse optimization | Magic3D · Magic3D coarse vs fine models | user preference: 87.7% | Helped |
| replace coarse-to-fine optimization with single-stage optimization (ablation) | Magic3D · Text-to-3D synthesis | 3D visual quality | Hurt |
| optimize a mesh from scratch rather than initializing it from the coarse neural field (ablation) | Magic3D fine-stage mesh optimization · Text-to-3D synthesis | 3D visual quality | Hurt |
| use an initialized NeRF instead of a mesh in the fine stage (ablation) | Magic3D · Text-to-3D synthesis | 3D visual quality | Helped |
| replace the latent diffusion prior with a super-resolution diffusion prior (ablation) | Magic3D fine stage · Text-to-3D synthesis | high-resolution detail quality | Hurt |
| add orientation regularization to coarse optimization (ablation) | Magic3D coarse model · Text-to-3D synthesis | optimization quality | Hurt |
Closest papers by meaning
- HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance (ICLR 2024 · similarity 0.91)
- Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation (ICLR 2024 · similarity 0.89)
- DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow (ICLR 2024 · similarity 0.89)
- Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors (ICLR 2024 · similarity 0.89)
- Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model (ICLR 2024 · similarity 0.89)
- Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data (CVPR 2025 · similarity 0.89)
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