Neural Radiance Flow (NSF)
Spatio-temporal 4D scene reconstruction with high-fidelity motion flow estimation.
The world's first AI-powered volumetric video platform for live streaming real-world events into 3D environments.
Condense is a high-performance AI infrastructure platform specializing in volumetric video—the process of capturing a three-dimensional space and streaming it in real-time. Unlike traditional 360-degree video, Condense utilizes advanced computer vision and deep learning models to reconstruct human subjects as dynamic 3D assets with accurate depth, texture, and lighting. This architecture enables creators to broadcast live performances, sporting events, and corporate presentations directly into game engines like Unity, Unreal Engine, and WebGL-based metaverses. Positioned as a 2026 market leader in the 'Phygital' infrastructure space, Condense eliminates the need for expensive green screens and post-production by utilizing proprietary edge-processing algorithms that calibrate camera arrays and synthesize point clouds with sub-second latency. For the AI Solutions Architect, Condense represents the bridge between physical reality and digital twin environments, offering a robust SDK ecosystem for developers to integrate live 3D humans into interactive experiences. The platform leverages neural networks for semantic segmentation and noise reduction, ensuring that the streamed 3D data is clean, compressed, and compatible with various hardware, from mobile AR to high-end VR headsets.
Uses deep neural networks to convert multiple 2D video feeds into a coherent 3D point cloud instantly.
Spatio-temporal 4D scene reconstruction with high-fidelity motion flow estimation.
Real-time 3D holographic presence using a single camera for spatial communication.
Next-generation volumetric 3D human reconstruction from single-view and multi-view sequences.
High-fidelity 4D neural radiance fields for sub-millimeter human reconstruction and animation.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Processes heavy video data at the source to minimize upload bandwidth and latency.
AI-driven background removal that identifies and isolates human subjects from any real-world environment.
Proprietary algorithms that compress volumetric data for smooth playback on mobile devices.
Native integration for Unity, Unreal, and WebGL environments.
Synchronizes 360-degree audio with the volumetric position of the subject.
One-click AI calibration system that aligns multiple camera sensors in seconds.
Avatars lack the emotional nuance and realism of real performers.
Registry Updated:2/7/2026
Flat 2D sports broadcasts don't allow viewers to choose their own viewing angles.
Zoom fatigue and lack of presence in remote corporate events.