
NeRF Pro (by KIRI Innovations)
Turn 2D Video into Hyper-Realistic 3D Assets with Advanced Neural Radiance Fields and Gaussian Splatting.

Transform mobile videos into photorealistic, fully-rigged 3D avatars in under 60 seconds.

In3D is a pioneer in the 3D reconstruction space, leveraging proprietary neural networking architectures to convert standard mobile camera footage into high-fidelity digital twins. Unlike traditional photogrammetry, which requires hundreds of photos and hours of processing, In3D utilizes a streamlined 'scan-yourself' workflow that handles mesh generation, texture mapping, and automatic rigging in under a minute. By 2026, the platform has matured into a vital middleware for the e-commerce and gaming sectors, offering an SDK that allows developers to integrate instantaneous avatar creation into Unity, Unreal Engine, and web-based applications. Technically, the engine excels at decoupling clothing geometry from body mesh, enabling advanced virtual try-on scenarios. Its market position is solidified by its ability to balance mobile-side compute with cloud-based optimization, ensuring that the resulting FBX or GLB files are game-ready with optimized polygon counts and high-resolution PBR (Physically Based Rendering) textures. As the metaverse transitions from stylized to photorealistic representations, In3D provides the essential bridge for consumer-level hardware to generate professional-grade assets.
In3D is a pioneer in the 3D reconstruction space, leveraging proprietary neural networking architectures to convert standard mobile camera footage into high-fidelity digital twins.
Explore all tools that specialize in automatic rigging. This domain focus ensures In3D delivers optimized results for this specific requirement.
Uses a standard Mixamo-compatible skeletal structure, allowing for instant animation compatibility.
AI-driven generation of Albedo, Normal, and Roughness maps from a single video stream.
Integration with ARKit for real-time body tracking and digital twin puppeteering.
Algorithmically identifies and separates clothing geometry from skin topology.
Automatically generates Level of Detail meshes for mobile game optimization.
Optimized UV mapping that maximizes texture space for 4K resolutions.
Deep learning models fill in 'occluded' areas (like under the arms) where the camera can't see.
Download the In3D mobile application on iOS or Android (LiDAR preferred but not required).
Position the camera at eye level in a well-lit environment.
Perform a 360-degree slow rotation following the on-screen UI prompts.
Upload the captured video sequence to the In3D cloud processing engine.
Wait approximately 30-60 seconds for neural mesh reconstruction.
Preview the 3D avatar within the app's real-time viewer.
Customize body dimensions or clothing using the built-in editor.
Export the rigged model to a local device or cloud storage.
(Developers) Import the .fbx or .glb into Unity/Unreal using the In3D SDK.
Map animations to the standardized humanoid rig for immediate movement.
All Set
Ready to go
Verified feedback from other users.
"Users praise the speed and ease of use compared to traditional scanning, though some note that lighting significantly affects quality."
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Turn 2D Video into Hyper-Realistic 3D Assets with Advanced Neural Radiance Fields and Gaussian Splatting.

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