agent · gaming
Image to 3D AI vs Voyager
55 fields both were evaluated on, 24 of them different — including where one discloses something the other does not. Every value links to the document it came from. 31 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | Image to 3D AI | Voyager |
|---|---|---|
| Audit trail· | no public information www.imgto3d.ai · checked Aug 1, 2026 | Yes (feedback, errors, and self-verification logged implicitly) “iterative prompting mechanism that incorporates environment feedback, execution errors, and self-verification for program improvement”voyager.minedojo.org · checked Aug 1, 2026 |
| Explainability· | “Our system reads the shapes, shadows, and edges, then builds a depth map — basically a guess at what the back side looks like. From that, it creates a wireframe mesh and wraps a skin around it.”www.imgto3d.ai · checked Aug 1, 2026 | Yes (skills are interpretable and compositional code) “skills developed by Voyager are temporally extended, interpretable, and compositional”voyager.minedojo.org · checked Aug 1, 2026 |
| Runtime governance· | “Free tier tops out at 40K faces — enough for most prints and game assets. Pro plans unlock up to 1M for film, medical visualization, or any project where you need to zoom in extremely close.”www.imgto3d.ai · checked Aug 1, 2026 | no public information voyager.minedojo.org · checked Aug 1, 2026 |
| Permission scopes· | “Free outputs are for personal testing only. Upgrade to Pro to own your creations with full commercial rights.”www.imgto3d.ai · checked Aug 1, 2026 | no public information voyager.minedojo.org · checked Aug 1, 2026 |
Agency
| Field | Image to 3D AI | Voyager |
|---|---|---|
| Autonomy level· | no public information www.imgto3d.ai · checked Aug 1, 2026 | 5 (acts unsupervised) “Voyager, the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention.”voyager.minedojo.org · checked Aug 1, 2026 |
| Human oversight· | no public information www.imgto3d.ai · checked Aug 1, 2026 | |
| Goal complexity· | no public information www.imgto3d.ai · checked Aug 1, 2026 | |
| Action space· | no public information www.imgto3d.ai · checked Aug 1, 2026 | execute “We opt to use code as the action space instead of low-level motor commands because programs can naturally represent temporally extended and compositional actions”voyager.minedojo.org · checked Aug 1, 2026 |
| Operating environment· | “Works in your browser — nothing to download.”www.imgto3d.ai · checked Aug 1, 2026 | |
| Initiative· | “Upload any JPG or PNG, and get a printable 3D model in under 50 seconds.”www.imgto3d.ai · checked Aug 1, 2026 | no public information voyager.minedojo.org · checked Aug 1, 2026 |
Safety
| Field | Image to 3D AI | Voyager |
|---|---|---|
| Safety policy· | “We do not store any of your uploaded images or generated models. Your privacy is our top priority.”www.imgto3d.ai · checked Aug 1, 2026 | no public information voyager.minedojo.org · checked Aug 1, 2026 |
| Usage restrictions· | “Commercial use is only allowed with the Pro plan. Free outputs are for personal testing only.”www.imgto3d.ai · checked Aug 1, 2026 | no public information voyager.minedojo.org · checked Aug 1, 2026 |
| Data handling· | “We do not store any of your uploaded images or generated models. Your privacy is our top priority.”www.imgto3d.ai · checked Aug 1, 2026 | no public information voyager.minedojo.org · checked Aug 1, 2026 |
Practicality
| Field | Image to 3D AI | Voyager |
|---|---|---|
| Pricing model· | no public information voyager.minedojo.org · checked Aug 1, 2026 | |
| Availability· | no public information voyager.minedojo.org · checked Aug 1, 2026 | |
| Deployment options· | “Works in your browser — nothing to download.”www.imgto3d.ai · checked Aug 1, 2026 | no public information voyager.minedojo.org · checked Aug 1, 2026 |
| Integrations· | “Import straight into Blender, Unity, or your slicer.”www.imgto3d.ai · checked Aug 1, 2026 |
Foundation models
| Field | Image to 3D AI | Voyager |
|---|---|---|
| Base models· | “Under the hood, we use a model trained on millions of image-to-3D pairs.”www.imgto3d.ai · checked Aug 1, 2026 | |
| Model provider· | “With Hunyuan's algorithm, we maintain 90fps performance without sacrificing visual fidelity.”www.imgto3d.ai · checked Aug 1, 2026 | |
| Model swappable· | no public information www.imgto3d.ai · checked Aug 1, 2026 | No (only GPT-4 used via blackbox API) “We opt to use code as the action space instead of low-level motor commands because programs can naturally represent temporally extended and compositional actions, which are essential for many long-horizon tasks in Minecraft. Voyager interacts with a blackbox LLM (GPT-4) through prompting and in-context learning. Our approach bypasses the need for model parameter access and explicit gradient-based training or finetuning.”voyager.minedojo.org · checked Aug 1, 2026 |
| Fine-tuning· | no public information www.imgto3d.ai · checked Aug 1, 2026 | Not supported “bypasses the need for model parameter fine-tuning”voyager.minedojo.org · checked Aug 1, 2026 |
Impact
| Field | Image to 3D AI | Voyager |
|---|---|---|
| User base· | “19,000+ people have turned photos into files this year.”www.imgto3d.ai · checked Aug 1, 2026 | no public information voyager.minedojo.org · checked Aug 1, 2026 |
| Deployment scale· | “19,000+ people have turned photos into files this year. No credit card to try.”www.imgto3d.ai · checked Aug 1, 2026 | no public information voyager.minedojo.org · checked Aug 1, 2026 |
| Target sectors· | no public information voyager.minedojo.org · checked Aug 1, 2026 |
Disclosed by neither
Both Image to 3D AI and Voyager publish nothing on these 31 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 31 identical table rows. Each is shown with its source check on the individual profiles.
- High-risk domains
- Documented incidents
- Price point
- Supported regions
- Support model
- Open weights
- Context window
- Protocols supported
- Tool use
- Multi-agent
- API access
- Open source
- Marketplace presence
- Safety evaluations
- Red teaming
- Model or system card
- Incident reporting
- Third-party evaluations
- Insurance available
- Insurance carriers
- Coverage limits
- Indemnification
- Liability cap
- Tamper-evident log
- Compliance certifications
- Regulatory alignment
- Outcome-based pricing
- Settlement mechanism
- Dispute process
- SLA terms
- Evaluation coverage
Questions
- How do Image to 3D AI and Voyager compare on autonomy level?
- Image to 3D AI: no public information disclosed. Voyager: 5 (acts unsupervised).
- How do Image to 3D AI and Voyager compare on human oversight?
- Image to 3D AI: no public information disclosed. Voyager: No human oversight required.
- How do Image to 3D AI and Voyager compare on action space?
- Image to 3D AI: no public information disclosed. Voyager: execute.
- How do Image to 3D AI and Voyager compare on model swappable?
- Image to 3D AI: no public information disclosed. Voyager: No (only GPT-4 used via blackbox API).
- How do Image to 3D AI and Voyager compare on fine-tuning?
- Image to 3D AI: no public information disclosed. Voyager: Not supported.
- How do Image to 3D AI and Voyager compare on audit trail?
- Image to 3D AI: no public information disclosed. Voyager: Yes (feedback, errors, and self-verification logged implicitly).