TVPaint Animation
The digital solution for your professional 2D animation projects.
Creativity
Paid
From $750
2D Animation
Storyboarding
Character Design
DreamFusion
4.6
Free Users praise DreamFusion for its ability to generate high-quality 3D models from text prompts, but note that it can be computationally intensive.
Text-to-3D using 2D Diffusion.
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Refined 2/22/2026
About DreamFusion
DreamFusion is a research project that leverages pre-trained 2D text-to-image diffusion models (like Imagen) to synthesize 3D models from text prompts. It circumvents the need for large-scale labeled 3D datasets by using a loss based on probability density distillation. The system optimizes a randomly initialized Neural Radiance Field (NeRF) via gradient descent, ensuring its 2D renderings from various angles align with the input text prompt. This is achieved through Score Distillation Sampling (SDS), which allows for optimization in a 3D parameter space. DreamFusion refines the NeRF's geometry and appearance through additional regularizers and optimization strategies, resulting in relightable 3D objects with high-fidelity normals, surface geometry, and depth. The generated NeRF models can be exported as meshes for integration into 3D renderers or modeling software.
Core Capabilities
DreamFusion is a research project that leverages pre-trained 2D text-to-image diffusion models (like Imagen) to synthesize 3D models from text prompts.
Main Tasks
Text-to-3D
Explore all tools that specialize in text-to-3d. This domain focus ensures DreamFusion delivers optimized results for this specific requirement.
