4dface is live · custom pricing · last verified 24 Oct 2026 · viability monitor
4dface
4dface licenses a full-head 3D morphable face model SDK for real-time 3D face tracking and avatar reconstruction.
If your problem is accuracy of full-head 3D face geometry and you have engineers who can drive a C++14 or Python library, 4dface is worth a direct conversation — the 36-expression, full-head 4D Face Model built from hundreds of scans is the product. If your problem is shipping face effects this quarter, or tracking several faces live on-device, the integration effort will fight you. Treat 16 December 2018 as the last publicly visible milestone and ask what has changed since.
Verdict generatedVerified 6d ago · liveness 59/100 · cite: rightaichoice.com/tools/4dface
- Computer vision teams needing accurate 3D face reconstruction from images or video
- AR/VR developers building full-head, physically accurate personal avatars
- Medical and dental groups needing patient-specific facial geometry
- Automotive safety engineers building driver-facing monitoring systems
- Hobbyists or teams without computer-vision engineering experience
- Projects that need a drop-in web or mobile face SDK this quarter
- Use cases centred on real-time multi-face tracking
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Skip 4dface if you need a web or mobile face SDK you can drop in and ship this quarter, or if you want a hosted endpoint that returns face data without writing C++ or Python integration code.
4dface quotes per engagement through its contact form rather than a public price list, so cost scales with how much custom scoping your pipeline needs. That tends to suit funded engineering teams and medical or automotive programmes better than individual developers; for a single face-tracking feature, platform SDKs like ARKit or MediaPipe will cost less in integration hours.
In short
4dface — 4dface licenses a full-head 3D morphable face model SDK for real-time 3D face tracking and avatar reconstruction. Best for Computer vision teams needing accurate 3D face reconstruction from images or video, AR/VR developers building full-head, physically accurate personal avatars, Medical and dental groups needing patient-specific facial geometry. Pricing is on request (custom quotes).
What is 4dface?
4dface — 4dface licenses a full-head 3D morphable face model SDK for real-time 3D face tracking and avatar reconstruction. Best for Computer vision teams needing accurate 3D face reconstruction from images or video, AR/VR developers building full-head, physically accurate personal avatars, Medical and dental groups needing patient-specific facial geometry. Pricing is on request (custom quotes).
4dface is a licensing shop for the 4D Face Model, a full-head 3D morphable face model you use to rebuild a person's face as a 3D avatar from images or video footage, then track it in motion. It is a library, not an app — you drop it into an existing computer-vision or rendering pipeline rather than replacing one. The model carries 36 expressions and was built from high-resolution 3D face scans of hundreds of individuals. The kit is written in cross-platform C++14 and ships with native Python bindings, so the same core serves production C++ code and Python research or prototyping scripts. The visible milestone is the 4DFM 2019 release, announced 16 December 2018, which rebuilt the identity and expression models on more diverse scans so fitting holds up across a wider range of faces. Part of the underlying technology was presented at SIGGRAPH 2016 in Anaheim, California. The vendor points at healthcare, robotics, automotive safety, AR/VR, games and entertainment, and marketing research, but nothing in the model restricts it to those verticals. It fits computer-vision engineers with in-house 3D or ML capability who want control over the model and the fitting pipeline, and who value physically accurate full-head geometry over integration speed. Patient-specific facial geometry in dental or surgical planning, driver-monitoring rigs and avatar pipelines all map cleanly onto what the model provides. Against ARKit, MediaPipe or hosted avatar APIs, 4dface sells depth of face geometry rather than convenience — you get a research-grade morphable model to drive yourself, and you pay for it in integration engineering. The public trail is thin, so scope a direct conversation with the team before committing.
Key features
- Real-time 3D face tracking from 2D video
- 3D avatar creation and reconstruction from images or video footage
- Full-head 3D morphable face model (4D Face Model)
- 36 facial expressions in the 4D Face Model
- Identity and expression models built from high-resolution 3D scans of hundreds of individuals
- 4DFM 2019 release refit on more diverse scans (announced 16 December 2018)
- Cross-platform C++14 SDK
- Native Python bindings alongside the C++ core
- Physically accurate full-head face modelling
- Personal 3D avatar output usable in downstream pipelines
- Custom solution scoping with the vendor team
- Technology partly presented at SIGGRAPH 2016 in Anaheim, California
Behind the verdict
The case for 4dface is narrow and real. Teams that need a full-head, physically accurate morphable face model as a component — not a finished face-effects tool — get a C++14 core with Python bindings they can wire into their own fitting and rendering stack. In dental or surgical planning, driver-monitoring rigs, or avatar pipelines where the geometry itself is the deliverable, that control matters more than a two-week integration. We'd reach for this when the alternative is building a morphable model from scratch. Hundreds of high-resolution scans and a 36-expression basis are expensive to assemble, and SIGGRAPH-linked research pedigree is a reasonable proxy for the maths being sound. Where it bites is speed to first result. This is a library you embed and tune, so budget engineering time before you budget anything else. If your team has no computer-vision or 3D specialist, the model won't carry you. The closest alternatives aren't morphable-model vendors so much as the on-device face tracking in ARKit and MediaPipe — those get you moving in days at lower geometric fidelity and without a research contract. Choose based on whether you need depth of face geometry or simply reliable landmarks. Watch the release cadence. The most recent public announcement is the 4DFM 2019 release from December 2018, which refit the identity and expression models on more diverse scans. Ask the team directly what has shipped since, and whether the diverse-scan refit covers your target population.
Models under the hood
as of 2026-10-22
Limitations
- 4dface provides the 4D Face Model and a face tracking / 3D avatar creation SDK written in C++14 with native Python bindings, positioned for professional integration rather than a hosted consumer service, so integration work sits with the customer.
- The full-head morphable face model offers 36 expressions and is built from high-resolution 3D scans of hundreds of individuals.
- The most recent release signal on the vendor site is the 4DFM 2019 (2019.1) release announced 16 December 2018, with the site copyright dated 2021, so confirm current version, update cadence, and commercial terms directly with the vendor before buying.
as of 2026-10-19
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Is 4dface still active?
4dface is live · custom pricing · last verified 24 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is 4dface? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about 4dface?
What people actually say about 4dface — is it worth it?
Our community sentiment research written Jul 30, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about 4dface— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 24 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified 4dface 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed our verdict, who should skip it, features, description, summary
- — changed limitations
- — changed our verdict, pricing fit, who should skip it, features, description, switching in, switching out, limitations, hidden costs, summary, setup time
- — changed who it suits, description, our verdict, features, who should skip it, summary
- — changed limitations
- — changed SSL certificate
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does 4dface cost in 2026?
4dface: Pricing is on request (custom quotes). Pricing last verified 24 Oct 2026.
Where the pricing makes sense
The company stage and team size where 4dface's pricing actually pencils out — and where peers do it cheaper.
4dface quotes per engagement through its contact form rather than a public price list, so cost scales with how much custom scoping your pipeline needs. That tends to suit funded engineering teams and medical or automotive programmes better than individual developers; for a single face-tracking feature, platform SDKs like ARKit or MediaPipe will cost less in integration hours.
Has 4dface's pricing changed?
No plan price for 4dface has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick 4dface?
Pick 4dface if you are Computer vision teams needing accurate 3D face reconstruction from images or video, AR/VR developers building full-head, physically accurate personal avatars, Medical and dental groups needing patient-specific facial geometry, Automotive safety engineers building driver-facing monitoring systems.
Look elsewhere if you are Hobbyists or teams without computer-vision engineering experience, Projects that need a drop-in web or mobile face SDK this quarter, Use cases centred on real-time multi-face tracking, Buyers who want the model as a hosted API rather than a C++/Python library.
Skip it if Skip 4dface if you need a web or mobile face SDK you can drop in and ship this quarter, or if you want a hosted endpoint that returns face data without writing C++ or Python integration code.
GeneratedReal-world workflow fit
Concrete scenarios for the personas 4dface actually fits — and what changes day-one when you adopt it.
You prototype 4DFM face fitting in Python against a batch of captured video, then port the same core to your C++14 rendering pipeline for production avatars.
Outcome: A full-head 3D avatar generated from footage rather than modelled by hand, with the fitting logic owned in-house.
You fit the 4D Face Model to patient photographs and scans to produce patient-specific facial geometry that feeds your planning software.
Outcome: Patient-specific 3D face models inside your existing planning workflow instead of a separate web tool.
You run real-time face tracking from a driver-facing camera and use the 36-expression model to characterise facial state in the cabin.
Outcome: Face-state signal integrated directly into your monitoring stack, with no third-party cloud in the loop.
Use cases
- Reconstruct a personal 3D face avatar from webcam or video footage for telepresence and AR/VR
- Drive an animated 3D character in a game from live performance capture
- Generate patient-specific 3D face models for dental or surgical planning
- Model facial expression and geometry for academic computer-vision and behavioural research
- Analyse driver facial state for automotive safety and monitoring systems
- Fit a full-head morphable model to scanned or photographed faces for marketing research stimuli
Setup time & first value
How long it actually takes to get something useful out of 4dface — broken out by persona, not the marketing-page minute.
Expect a scoped conversation with the vendor before code, then a Python prototyping pass to validate fitting — days for a research spike, longer for C++ production integration. Teams without existing computer-vision capability should budget weeks.
Switching to or from 4dface
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ARKit face tracking: rebuild the pipeline around the C++14 SDK and 4D Face Model if you need full-head geometry rather than a face crop.
- →From MediaPipe Face Mesh: swap the landmark mesh for 4DFM's 36-expression morphable model when geometric accuracy matters more than speed to ship.
- →From a cloud face API: move fitting in-house so face data stays on your own infrastructure rather than round-tripping to a hosted endpoint.
- ↗To ARKit or MediaPipe: replace the SDK with a platform face-tracking API if you need on-device mobile delivery and faster integration over model fidelity.
- ↗To a cloud face API: offload fitting to a hosted endpoint if you no longer want to maintain C++ integration code in-house.
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “4dface”, and we withheld 6: 6 could not be judged, because “4dface” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about 4dface.
Official links
What are the best 4dface alternatives?
The closest alternatives to 4dface we list are AtlasNet, Dream3D and SAM3DBody Cpp. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| AtlasNet | Free | Free | — |
| Dream3D | Contact Sales | Custom pricing | — |
| SAM3DBody Cpp | Free | Free | — |
Alternatives to 4dface
View all
AtlasNet
AtlasNet is a CVPR 2018 research codebase that turns an image or point cloud into a 3D surface mesh by deforming learnable parametric patches.
Dream3D
Brooklyn research team building foundation models that turn data into interactive 3D simulations.
SAM3DBody Cpp
SAM3DBody Cpp delivers real-time 3D body tracking and finger-level BVH motion capture from a single RGB camera in pure C++.
Tools that pair well with 4dface
Common stack mates teams adopt alongside 4dface, with the specific reason each pairing earns its keep.
AtlasNet
AtlasNet is a CVPR 2018 research codebase that turns an image or point cloud into a 3D surface mesh by deforming learnable parametric patches.
Dream3D
Brooklyn research team building foundation models that turn data into interactive 3D simulations.
SAM3DBody Cpp
SAM3DBody Cpp delivers real-time 3D body tracking and finger-level BVH motion capture from a single RGB camera in pure C++.
4dface vs its closest rival
4dface's closest head-to-head is with Splice — Splice and 4dface serve completely different markets. Splice is a must-have for music producers needing affordable, royalty-free samples and rent-to-own plugins like Serum 2. 4dface is a specialized real-time 3D face tracking SDK for developers and researchers in AR/VR, healthcare, or gaming — not for casual users. Choose based on your domain: music production vs. computer vision. Verdict generated
Head-to-head comparisons
4dface vs Splice
Splice and 4dface serve completely different markets. Splice is a must-have for music producers needing affordable, royalty-free samples and rent-to-own plugins like Serum 2. 4dface is a specialized real-time 3D face tracking SDK for developers and researchers in AR/VR, healthcare, or gaming — not for casual users. Choose based on your domain: music production vs. computer vision.
Generated4dface vs The New Black
4dface and The New Black serve completely different domains. If you need precise 3D face reconstruction from video for research or professional AR/VR, 4dface is unmatched, but requires enterprise pricing and deep CV expertise. For fashion brands wanting to speed up design and model imagery generation without photoshoots, The New Black's freemium model and direct social/shopify integrations offer immense value. Choose based on your industry: computer vision or fashion.
Generated4dface vs Storyfile
If you need a technical SDK for real-time 3D face reconstruction from video, choose 4dface — it's backed by academic research and built for developers. If you want to create life-like, interactive conversations using actual filmed footage for museums, legacy, or digital twins, choose StoryFile — it prioritizes authenticity and emotional connection over synthetic generation.
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